DIRECTING ONE OR MORE USERS TO ONE OR MORE AUTOMATED CUSTOMIZED FOOD GENERATION MACHINES

• US 20150186970A1
• Filed: 03/06/2014
• Published: 07/02/2015
• Est. Priority Date: 12/30/2013
• Status: Active Grant

• Current Assignee: Elwha LLC (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Holman, Pablos, Hong, Son, Hyde, Roderick A., Ishikawa, Muriel Y., Kare, Jordin T., Levchin, Max R., Levien, Royce A., Lord, Richard T., Lord, Robert W., Malamud, Mark A., Myhrvold, Nathan P., Petroski, Robert C., Tegreene, Clarence T., Whitmer, Charles, Wood, Lowell L. Jr., Wood, Victoria Y.H.
• Granted Patent: US 10,115,142 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0621 Item configuration or customization
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0635 Processing of requisition or of purchase orders
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: G07F 17/0064 for processing of food articles cooking vessels A47J37/00
• CPC Class Codes: G07F 9/001 Interfacing with vending machines using mobile or wearable devices
• CPC Class Codes: G07F 9/002 Vending machines being part of a centrally controlled network of vending machines
• CPC Class Codes: G07F 9/009 User recognition or proximity detection
• CPC Class Codes: G07F 9/023 Arrangements for display, data presentation or advertising

Abstract

Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Claims

1. A computationally-implemented method, comprising:

acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items;

identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and

presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine.

2. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user.

3. The computationally-implemented method of claim 2, wherein said acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user comprises:

acquiring the at least a portion of the user preference information from the user by acquiring one or more entries entered by the user through a user interface of an automated customized food generation machine that is designed to generate customized food items.

4. The computationally-implemented method of claim 3, wherein said acquiring the at least a portion of the user preference information from the user by acquiring one or more entries entered by the user through a user interface of an automated customized food generation machine that is designed to generate customized food items comprises:

acquiring the one or more entries entered by the user through the user interface of an automated customized food generation machine by acquiring one or more selections entered by the user from a plurality of alternative options presented through the user interface.

5. The computationally-implemented method of claim 2, wherein said acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user comprises:

acquiring the at least a portion of the user preference information from the user by acquiring the at least a portion of the user preference information from one or more devices associated with the user.

6. The computationally-implemented method of claim 5, wherein said acquiring the at least a portion of the user preference information from the user by acquiring the at least a portion of the user preference information from one or more devices associated with the user comprises:

acquiring the at least a portion of the user preference information from the one or more devices associated with the user by acquiring at least a portion of the user preference information from one or more of a credit card, a smart card, and/or a mobile computing device associated with the user.

7. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by retrieving at least a portion of the user preference information from a memory based, at least in part, on one or more user identifications provided by the user.

8. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by retrieving at least a portion of the user preference information from the internet based, at least in part, on one or more user identifications provided by the user.

9. The computationally-implemented method of claim 8, wherein said acquiring the user preference information of the user by retrieving at least a portion of the user preference information from the internet based, at least in part, on one or more user identifications provided by the user comprises:

retrieving at least the portion of the user preference information from one or more social networking websites based, at least in part, on one or more user identifications provided by the user.

10. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by acquiring the user preference information in response to detecting that the user being in proximity of one or more automated customized food generation machines that are designed to generate customized food items.

11. The computationally-implemented method of claim 10, wherein said acquiring the user preference information of the user by acquiring the user preference information in response to detecting that the user being in proximity of one or more automated customized food generation machines that are designed to generate customized food items comprises:

acquiring the user preference information in response to detecting that the user being in proximity of the one or more automated customized food generation machines by acquiring the user preference information in response to detecting that the user is approaching the one or more automated customized food generation machines.

12. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by acquiring user preference information of a user who is using one or more automated customized food generation machines in order to request for one or more customized food items.

13. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other.

14. The computationally-implemented method of claim 13, wherein said acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other comprises:

determining that the user and the second user are affiliated with each other based, at least in part, on information provided by one or more social networking sites.

15. The computationally-implemented method of claim 13, wherein said acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other comprises:

determining that the user and the second user are affiliated with each other based, at least in part, on information provided by one or more devices associated with at least one of the user or the second user.

16. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user.

17. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring user dietary information of the user that indicates one or more customized food item preferences of the user for immediate consumption by the user.

18. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring user dietary information of the user that indicates one or more heating or cooling preferences of the user related to one or more ingredients of at least one customized food item.

19. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more taste or flavor preferences of the user.

20. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more ingredient preferences of the user.

21. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary schedules of the user.

22. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary restrictions of the user.

23. The computationally-implemented method of claim 16, wherein said acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary needs of the user.

24. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user including acquiring historical dietary information associated with the user.

25. The computationally-implemented method of claim 24, wherein said acquiring the user preference information of the user including acquiring historical dietary information associated with the user comprises:

acquiring the historical dietary information associated with the user by acquiring historical dietary consumption data of the user during one or more predefined time spans.

26. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients for use in generating the one or more customized food items.

27. The computationally-implemented method of claim 26, wherein said acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients for use in generating the one or more customized food items comprises:

acquiring the user preference information that includes the one or more preferences related to the purity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities.

28. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more user preferences that the one or more ingredients for use in generating the one or more customized food items were obtained from one or more specified sources and/or from one or more specified locations.

29. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more user preferences that the one or more ingredients for use in generating the one or more customized food items were not obtained from one or more specified sources and/or one or more specified locations.

30. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user including information indicating historical travel or movement information of the user.

31. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user including historical usage information indicating historical user usage of one or more automated customized food generation machines.

32. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information including historical response information indicating one or more historical user responses of the user in response to one or more customized food generation machine recommendations previously presented to the user that recommended to the user one or more specific automated customized food generation machines for use by the user.

33. The computationally-implemented method of claim 1, wherein said acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

34. The computationally-implemented method of claim 33, wherein said acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine does not at least have sufficient quantity or quantities of one or more preferred ingredients that are preferred by the user to be able to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

35. The computationally-implemented method of claim 33, wherein said acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine that is designed to generate customized food items and that is in the proximate vicinity of the user is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

36. The computationally-implemented method of claim 33, wherein said acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine that is designed to generate customized food items and that is interfacing with the user is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

37. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines by determining one or more identifiers of the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

38. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines by determining one or more locations of the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

39. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines by determining one or more distances between the user and the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

40. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines by determining one or more instructions for traveling to the one or more capable automated customized food generation machines from one or more locations of the one or more users.

41. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

42. The computationally-implemented method of claim 41, wherein said identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying one or more capable automated customized food generation machines that are determined to be located within a distance corresponding to a maximum distance traveled by a user via walking, mass transit, and/or automobile in 30 minutes and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

43. The computationally-implemented method of claim 41, wherein said identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying one or more capable automated customized food generation machines that are determined to be located within five miles from the location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

44. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user, the identification being based on data stored in a memory, the data having been previously supplied to the memory by one or more automated customized food generation machines and indicating ingredient supply statuses of the one or more automated customized food generation machines.

45. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by querying one or more automated customized food generation machines in order to determine that the one or more queried automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

46. The computationally-implemented method of claim 45, wherein said identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by querying one or more automated customized food generation machines in order to determine that the one or more queried automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user; and

querying the one or more automated customized food generation machines that were determined to be located within the short walking, mass transit, and/or driving distance from the current location of the user in order to determine that the one or more automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

47. The computationally-implemented method of claim 46, wherein said determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from current location of the user by determining presence of one or more automated customized food generation machines within one mile from current location of the user.

48. The computationally-implemented method of claim 46, wherein said determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from the current location of the user by determining presence of one or more automated customized food generation machines within five miles from the current location of the user.

49. The computationally-implemented method of claim 46, wherein said determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from the current location of the user by determining presence of one or more automated customized food generation machines within 30 minutes of traveling by walking, mass transit, and/or automobile from the current location of the user.

50. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user.

51. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food item preferences of the user.

52. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more heating or cooling preferences of the user related to one or more ingredients.

53. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more taste or flavor preferences of the user.

54. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more ingredient preferences of the user.

55. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary schedules of the user.

56. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary restrictions of the user.

57. The computationally-implemented method of claim 50, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary needs of the user.

58. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item.

59. The computationally-implemented method of claim 58, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities.

60. The computationally-implemented method of claim 59, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more prions.

61. The computationally-implemented method of claim 60, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more prions comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for the presence or absence of the one or more prions within one or more predefined amounts of time from when the one or more ingredients were harvested from the one or more sources.

62. The computationally-implemented method of claim 59, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria.

63. The computationally-implemented method of claim 62, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more selective bacteria are present in the one or more sources at below one or more predefined levels.

64. The computationally-implemented method of claim 62, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for the presence of the one or more selective bacteria within one or more predefined amounts of time from when the one or more ingredients were harvested from the one or more sources.

65. The computationally-implemented method of claim 62, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of the one or more selective bacteria, the one or more selective bacteria including at least one of enterococcus, E. coli, campylobacter, klebsiella pneumoniae, salmonella, or staphylococcus aureus.

66. The computationally-implemented method of claim 59, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more antibiotics.

67. The computationally-implemented method of claim 66, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more antibiotics comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more antibiotics are present in the one or more sources at below one or more predefined levels.

68. The computationally-implemented method of claim 59, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more pesticides.

69. The computationally-implemented method of claim 68, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more pesticides comprises:

identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more sources were tested to be free of one or more specified pesticides.

70. The computationally-implemented method of claim 58, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more meat ingredients to be used for generating the at least one customized food item.

71. The computationally-implemented method of claim 58, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more processed ingredients to be used for generating the at least one customized food item.

72. The computationally-implemented method of claim 58, wherein said identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more vegetable ingredients to be used for generating the at least one customized food item.

73. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were obtained from one or more specified sources.

74. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were not obtained from one or more specified sources.

75. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were obtained from one or more specified locations.

76. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were not obtained from one or more specified locations.

77. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines including identifying one or more substitute automated customized food generation machines that do not have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user but which are able to currently generate at least one substitute customized food item that is a substitute for the at least one customized food item.

78. The computationally-implemented method of claim 77, wherein said identifying the one or more capable automated customized food generation machines including identifying one or more substitute automated customized food generation machines that do not have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user but which are able to currently generate at least one substitute customized food item that is a substitute for the at least one customized food item comprises:

identifying the one or more substitute automated customized food generation machines by identifying one or more substitute automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate a substitute customized food item that is substantially in compliance with the one or more customized food preferences of the user.

79. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines in response to detecting that an automated customized food generation machine that the user is interfacing with is unable to generate at least one customized food item in compliance with the one or more customized food preferences of the user.

80. The computationally-implemented method of claim 1, wherein said identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

identifying the one or more capable automated customized food generation machines in response to detecting that an automated customized food generation machine that is in proximate vicinity of the user is unable to generate at least one customized food item in compliance with the one or more customized food preferences of the user.

81. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by audibly and/or visually presenting the one or more indicators via user interface.

82. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to at least one automated customized food generation machine by transmitting to one or more computing devices one or more electronic indicators that direct the user to at least one automated customized food generation machine.

83. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to at least one automated customized food generation machine by presenting one or more textual indicators that direct the user to the at least one automated customized food generation machine.

84. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more graphical indicators that direct the user to the at least one automated customized food generation machine.

85. The computationally-implemented method of claim 84, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more graphical indicators that direct the user to the at least one automated customized food generation machine comprises:

presenting the one or more graphical indicators that direct the user to the one or more automated customized food generation machines by presenting one or more maps that direct the user to the one or more automated customized food generation machines.

86. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine.

87. The computationally-implemented method of claim 86, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate one or more locations or addresses of the at least one automated customized food generation machine.

88. The computationally-implemented method of claim 86, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate instructions to reach the location of the at least one automated customized food generation machine from the location of the user.

89. The computationally-implemented method of claim 86, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate distance between the user and the at least one automated customized food generation machine.

90. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

91. The computationally-implemented method of claim 90, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user and that is identified as being located within a short traveling distance from location of the user.

92. The computationally-implemented method of claim 90, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user and that is identified as being located along or proximate to one or more historical travel routes of the user.

93. The computationally-implemented method of claim 90, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

presenting one or more indicators that direct the user to a plurality of automated customized food generation machines that were each identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user, the one or more indicators indicating travel distance to each location of the plurality of automated customized food generation machines from location of the user, nearness of each of the plurality of automated customized food generation machines to one or more historical travel routes of the user, and/or one or more price discounts available through each of the plurality of automated customized food generation machines.

94. The computationally-implemented method of claim 1, wherein said presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user.

95. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as not having the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user, the at least one substitute automated customized food generation machine being indicated even though one or more automated customized food generation machines that were identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user were found.

96. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in substantial compliance with the one or more customized food preferences of the user.

97. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as being located closer to the user than one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

98. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as being located closer to one or more historical travel routes of the user than one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

99. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as having lower retail prices than retail prices of one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

100. The computationally-implemented method of claim 94, wherein said presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate the at least one substitute automated customized food generation machine and that indicate one or more capable automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

101. A computationally-implemented system, comprising:

means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items;

means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and

means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine.

102. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user.

103. The computationally-implemented system of claim 102, wherein said means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user comprises:

means for acquiring the at least a portion of the user preference information from the user by acquiring one or more entries entered by the user through a user interface of an automated customized food generation machine that is designed to generate customized food items.

104. The computationally-implemented system of claim 103, wherein said means for acquiring the at least a portion of the user preference information from the user by acquiring one or more entries entered by the user through a user interface of an automated customized food generation machine that is designed to generate customized food items comprises:

means for acquiring the one or more entries entered by the user through the user interface of an automated customized food generation machine by acquiring one or more selections entered by the user from a plurality of alternative options presented through the user interface.

105. The computationally-implemented system of claim 102, wherein said means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information from the user comprises:

means for acquiring the at least a portion of the user preference information from the user by acquiring the at least a portion of the user preference information from one or more devices associated with the user.

106. The computationally-implemented system of claim 105, wherein said means for acquiring the at least a portion of the user preference information from the user by acquiring the at least a portion of the user preference information from one or more devices associated with the user comprises:

means for acquiring the at least a portion of the user preference information from the one or more devices associated with the user by acquiring at least a portion of the user preference information from one or more of a credit card, a smart card, and/or a mobile computing device associated with the user.

107. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by retrieving at least a portion of the user preference information from a memory based, at least in part, on one or more user identifications provided by the user.

108. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by retrieving at least a portion of the user preference information from the internet based, at least in part, on one or more user identifications provided by the user.

109. The computationally-implemented system of claim 108, wherein said means for acquiring the user preference information of the user by retrieving at least a portion of the user preference information from the internet based, at least in part, on one or more user identifications provided by the user comprises:

means for retrieving at least the portion of the user preference information from one or more social networking websites based, at least in part, on one or more user identifications provided by the user.

110. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by acquiring the user preference information in response to detecting that the user being in proximity of one or more automated customized food generation machines that are designed to generate customized food items.

111. The computationally-implemented system of claim 110, wherein said means for acquiring the user preference information of the user by acquiring the user preference information in response to detecting that the user being in proximity of one or more automated customized food generation machines that are designed to generate customized food items comprises:

means for acquiring the user preference information in response to detecting that the user being in proximity of the one or more automated customized food generation machines by acquiring the user preference information in response to detecting that the user is approaching the one or more automated customized food generation machines.

112. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by acquiring user preference information of a user who is using one or more automated customized food generation machines in order to request for one or more customized food items.

113. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other.

114. The computationally-implemented system of claim 113, wherein said means for acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other comprises:

means for determining that the user and the second user are affiliated with each other based, at least in part, on information provided by one or more social networking sites.

115. The computationally-implemented system of claim 113, wherein said means for acquiring user preference information of the user including acquiring user preference information of a second user that indicates one or more customized food preferences of the second user related to another one or more customized food items, the second user and the user having been determined to be affiliated with each other comprises:

means for determining that the user and the second user are affiliated with each other based, at least in part, on information provided by one or more devices associated with at least one of the user or the second user.

116. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user.

117. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring user dietary information of the user that indicates one or more customized food item preferences of the user for immediate consumption by the user.

118. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring user dietary information of the user that indicates one or more heating or cooling preferences of the user related to one or more ingredients of at least one customized food item.

119. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more taste or flavor preferences of the user.

120. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more ingredient preferences of the user.

121. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary schedules of the user.

122. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary restrictions of the user.

123. The computationally-implemented system of claim 116, wherein said means for acquiring the user preference information of the user that indicates one or more customized food preferences of the user by acquiring user dietary preference information of the user that indicates one or more dietary preferences of the user comprises:

means for acquiring the user dietary preference information of the user that indicates the one or more dietary preferences of the user by acquiring one or more dietary needs of the user.

124. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user including acquiring historical dietary information associated with the user.

125. The computationally-implemented system of claim 124, wherein said means for acquiring the user preference information of the user including acquiring historical dietary information associated with the user comprises:

means for acquiring the historical dietary information associated with the user by acquiring historical dietary consumption data of the user during one or more predefined time spans.

126. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients for use in generating the one or more customized food items.

127. The computationally-implemented system of claim 126, wherein said means for acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences related to purity of the one or more ingredients for use in generating the one or more customized food items comprises:

means for acquiring the user preference information that includes the one or more preferences related to the purity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more preferences that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities.

128. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more user preferences that the one or more ingredients for use in generating the one or more customized food items were obtained from one or more specified sources and/or from one or more specified locations.

129. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user that includes the one or more preferences related to the integrity of the one or more ingredients for use in generating the one or more customized food items by acquiring user preference information that includes one or more user preferences that the one or more ingredients for use in generating the one or more customized food items were not obtained from one or more specified sources and/or one or more specified locations.

130. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user including information indicating historical travel or movement information of the user.

131. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user including historical usage information indicating historical user usage of one or more automated customized food generation machines.

132. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information including historical response information indicating one or more historical user responses of the user in response to one or more customized food generation machine recommendations previously presented to the user that recommended to the user one or more specific automated customized food generation machines for use by the user.

133. The computationally-implemented system of claim 101, wherein said means for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items comprises:

means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

134. The computationally-implemented system of claim 133, wherein said means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

means for acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine does not at least have sufficient quantity or quantities of one or more preferred ingredients that are preferred by the user to be able to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

135. The computationally-implemented system of claim 133, wherein said means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

means for acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine that is designed to generate customized food items and that is in the proximate vicinity of the user is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

136. The computationally-implemented system of claim 133, wherein said means for acquiring the user preference information of the user by acquiring at least a portion of the user preference information in response, at least in part, to determining that an automated customized food generation machine that is designed to generate customized food items is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user comprises:

means for acquiring at least the portion of the user preference information in response, at least in part, to determining that the automated customized food generation machine that is designed to generate customized food items and that is interfacing with the user is unable to currently generate one or more customized food items in accordance with at least one customized food preference of the user.

137. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines by determining one or more identifiers of the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

138. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines by determining one or more locations of the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

139. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines by determining one or more distances between the user and the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

140. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines by determining one or more instructions for traveling to the one or more capable automated customized food generation machines from one or more locations of the one or more users.

141. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

142. The computationally-implemented system of claim 141, wherein said means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying one or more capable automated customized food generation machines that are determined to be located within a distance corresponding to a maximum distance traveled by a user via walking, mass transit, and/or automobile in 30 minutes and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

143. The computationally-implemented system of claim 141, wherein said means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least the one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that are determined to be located within a short traveling distance from a location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying one or more capable automated customized food generation machines that are determined to be located within five miles from the location of the user and that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user.

144. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user, the identification being based on data stored in a memory, the data having been previously supplied to the memory by one or more automated customized food generation machines and indicating ingredient supply statuses of the one or more automated customized food generation machines.

145. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by querying one or more automated customized food generation machines in order to determine that the one or more queried automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

146. The computationally-implemented system of claim 145, wherein said means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by querying one or more automated customized food generation machines in order to determine that the one or more queried automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user; and

means for querying the one or more automated customized food generation machines that were determined to be located within the short walking, mass transit, and/or driving distance from the current location of the user in order to determine that the one or more automated customized food generation machines have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

147. The computationally-implemented system of claim 146, wherein said means for determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

means for determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from current location of the user by determining presence of one or more automated customized food generation machines within one mile from current location of the user.

148. The computationally-implemented system of claim 146, wherein said means for determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

means for determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from the current location of the user by determining presence of one or more automated customized food generation machines within five miles from the current location of the user.

149. The computationally-implemented system of claim 146, wherein said means for determining presence of one or more automated customized food generation machines within a short walking, mass transit, and/or driving distance from current location of the user comprises:

means for determining the presence of the one or more automated customized food generation machines within the short walking, mass transit, and/or driving distance from the current location of the user by determining presence of one or more automated customized food generation machines within 30 minutes of traveling by walking, mass transit, and/or automobile from the current location of the user.

150. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user.

151. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food item preferences of the user.

152. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more heating or cooling preferences of the user related to one or more ingredients.

153. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more taste or flavor preferences of the user.

154. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more ingredient preferences of the user.

155. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary schedules of the user identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary schedules of the user.

156. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary restrictions of the user.

157. The computationally-implemented system of claim 150, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more dietary preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more dietary needs of the user.

158. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item.

159. The computationally-implemented system of claim 158, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities.

160. The computationally-implemented system of claim 159, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more prions.

161. The computationally-implemented system of claim 160, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more prions comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for the presence or absence of the one or more prions within one or more predefined amounts of time from when the one or more ingredients were harvested from the one or more sources.

162. The computationally-implemented system of claim 159, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria.

163. The computationally-implemented system of claim 162, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more selective bacteria are present in the one or more sources at below one or more predefined levels.

164. The computationally-implemented system of claim 162, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for the presence of the one or more selective bacteria within one or more predefined amounts of time from when the one or more ingredients were harvested from the one or more sources.

165. The computationally-implemented system of claim 162, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more selective bacteria comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of the one or more selective bacteria, the one or more selective bacteria including at least one of enterococcus, E. coli, campylobacter, klebsiella pneumoniae, salmonella, or staphylococcus aureus.

166. The computationally-implemented system of claim 159, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more antibiotics.

167. The computationally-implemented system of claim 166, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more antibiotics comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more antibiotics are present in the one or more sources at below one or more predefined levels.

168. The computationally-implemented system of claim 159, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that one or more sources for the one or more ingredients were tested for presence or absence of one or more impurities comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more pesticides.

169. The computationally-implemented system of claim 168, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more pesticides comprises:

means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested to confirm that the one or more sources were tested to be free of one or more specified pesticides.

170. The computationally-implemented system of claim 168, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user that the one or more sources for the one or more ingredients were tested for presence or absence of one or more pesticides comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more meat ingredients to be used for generating the at least one customized food item.

171. The computationally-implemented system of claim 158, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more processed ingredients to be used for generating the at least one customized food item.

172. The computationally-implemented system of claim 158, wherein said means for identifying the one or more capable automated customized food generation machines by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more purity preferences of the user related to purity of one or more ingredients for use in generating the at least one customized food item comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more purity preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more preferences of the user related to purity of one or more vegetable ingredients to be used for generating the at least one customized food item.

173. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were obtained from one or more specified sources.

174. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were not obtained from one or more specified sources.

175. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were obtained from one or more specified locations.

176. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines that have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with one or more customized food preferences of the user that the one or more ingredients for use in generating the at least one customized food item were not obtained from one or more specified locations.

177. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines including identifying one or more substitute automated customized food generation machines that do not have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user but which are able to currently generate at least one substitute customized food item that is a substitute for the at least one customized food item.

178. The computationally-implemented system of claim 177, wherein said means for identifying the one or more capable automated customized food generation machines including identifying one or more substitute automated customized food generation machines that do not have the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user but which are able to currently generate at least one substitute customized food item that is a substitute for the at least one customized food item comprises:

means for identifying the one or more substitute automated customized food generation machines by identifying one or more substitute automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate a substitute customized food item that is substantially in compliance with the one or more customized food preferences of the user.

179. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines in response to detecting that an automated customized food generation machine that the user is interfacing with is unable to generate at least one customized food item in compliance with the one or more customized food preferences of the user.

180. The computationally-implemented system of claim 101, wherein said means for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for identifying the one or more capable automated customized food generation machines in response to detecting that an automated customized food generation machine that is in proximate vicinity of the user is unable to generate at least one customized food item in compliance with the one or more customized food preferences of the user.

181. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine, comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by audibly and/or visually presenting the one or more indicators via user interface.

182. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to at least one automated customized food generation machine by transmitting to one or more computing devices one or more electronic indicators that direct the user to at least one automated customized food generation machine.

183. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to at least one automated customized food generation machine by presenting one or more textual indicators that direct the user to the at least one automated customized food generation machine.

184. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more graphical indicators that direct the user to the at least one automated customized food generation machine.

185. The computationally-implemented system of claim 184, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more graphical indicators that direct the user to the at least one automated customized food generation machine comprises:

means for presenting the one or more graphical indicators that direct the user to the one or more automated customized food generation machines by presenting one or more maps that direct the user to the one or more automated customized food generation machines.

186. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine.

187. The computationally-implemented system of claim 186, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate one or more locations or addresses of the at least one automated customized food generation machine.

188. The computationally-implemented system of claim 186, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate instructions to reach the location of the at least one automated customized food generation machine from the location of the user.

189. The computationally-implemented system of claim 186, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that identify the at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that identify the at least one automated customized food generation machine by presenting one or more indicators that indicate distance between the user and the at least one automated customized food generation machine.

190. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user.

191. The computationally-implemented system of claim 190, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user and that is identified as being located within a short traveling distance from location of the user.

192. The computationally-implemented system of claim 190, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user and that is identified as being located along or proximate to one or more historical travel routes of the user.

193. The computationally-implemented system of claim 190, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that direct the user to at least one automated customized food generation machine that was identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user comprises:

means for presenting one or more indicators that direct the user to a plurality of automated customized food generation machines that were each identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user, the one or more indicators indicating travel distance to each location of the plurality of automated customized food generation machines from location of the user, nearness of each of the plurality of automated customized food generation machines to one or more historical travel routes of the user, and/or one or more price discounts available through each of the plurality of automated customized food generation machines.

194. The computationally-implemented system of claim 101, wherein said means for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine comprises:

means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user.

195. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as not having the one or more ingredients in the one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user, the at least one substitute automated customized food generation machine being indicated even though one or more automated customized food generation machines that were identified as having the one or more ingredients in the one or more sufficient quantities to be able to currently generate the at least one customized food item in accordance with the one or more customized food preferences of the user were found.

196. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in substantial compliance with the one or more customized food preferences of the user.

197. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as being located closer to the user than one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

198. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as being located closer to one or more historical travel routes of the user than one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

199. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is in partial compliance with the one or more customized food preferences of the user and that was identified as having lower retail prices than retail prices of one or more automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

200. The computationally-implemented system of claim 194, wherein said means for presenting the one or more indicators that direct the user to the at least one automated customized food generation machine by presenting one or more indicators that indicate at least one substitute automated customized food generation machine that was identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item that is only in partial compliance with the one or more customized food preferences of the user comprises:

means for presenting the one or more indicators that indicate the at least one substitute automated customized food generation machine by presenting one or more indicators that indicate the at least one substitute automated customized food generation machine and that indicate one or more capable automated customized food generation machines that were identified as having one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in full compliance with the one or more customized food preferences of the user.

201. A system, comprising:

circuitry for acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items;

circuitry for identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and

circuitry for presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine.