Architectures, systems, apparatus, methods, and computer-readable medium for providing recommendations to users and applications using multidimensional data

• US 8,103,611 B2
• Filed: 09/03/2009
• Issued: 01/24/2012
• Est. Priority Date: 11/14/1997
• Status: Expired due to Fees

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: New York University
• Inventors: Tuzhilin, Alexander, Adomavicius, Gediminas
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): KENNEDY, ADRIAN L
• Application Number:
  US12/553,522
• Publication Number:
  US 20090327197A1
• Time in Patent Office: 873 Days
• Field of Search: None
• US Class Current: 706/47
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: Y10S 706/925 Business
• CPC Class Codes: Y10S 706/934 Information retrieval or Information management
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

Exemplary non-transitory computer-readable medium, method and system for providing at least one recommendation to users and applications using multidimensional data. The multidimensional data can define a multidimensional space defined by a Cartesian product of the dimensions. The multidimensional space can have at least three dimensions, and each of the dimensions can be capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions. The exemplary non-transitory computer-readable medium, method and system can retrieve information from data associated with the multidimensional space. Further, the exemplary non-transitory computer-readable medium, method and system can generate the at least one recommendation based on the retrieved information. Further, at least one of the dimensions can include profiles.

Claims

1. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising:

a) accessing the multidimensional data which define a multidimensional space which is defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions being capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) retrieving information from data associated with the multidimensional space; and

c) with a computer arrangement, generating the at least one recommendation based on the retrieved information.

2. The process according to claim 1, wherein the at least one recommendation includes multidimensional suggestions.

3. The process according to claim 2, wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications.

4. The process according to claim 1, wherein at least one of the dimensions includes a hierarchy.

12. The process according to claim 1, wherein the at least one recommendation is provided to the at least one of the users and applications.

13. The process according to claim 1, wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information.

14. The process according to claim 1, wherein the information is factual information.

15. The process according to claim 1, wherein a number of the dimensions in the multidimensional space is predetermined.

35. The process according to claim 1, wherein at least one of the dimensions has a range of values.

5. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising:

a) accessing the multidimensional data which define a multidimensional space which is defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions being capable of providing variable information;

b) retrieving information from data associated with the multidimensional space; and

c) with a computer arrangement, generating the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.

6. The process according to claim 5, wherein the profiles have static characteristics.

7. The process according to claim 6, wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension.

8. The process according to claim 7, further comprising the step of:

g) recording each of the static profiles in a data storage arrangement as one record per each dimension.

9. The process according to claim 5, wherein the profiles have dynamic characteristics.

10. The process according to claim 9, wherein the dynamic profiles include at least one set of rules.

11. The process according to claim 9, wherein the dynamic profiles include at least one set of sequences.

36. The process according to claim 5, wherein at least one of the dimensions has a range of values.

16. A system which provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures a processing device to perform the following;

a) access the multidimensional data which define a multidimensional space which is defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions being capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information.

17. The system according to claim 16, wherein the at least one recommendation includes multidimensional suggestions.

18. The system according to claim 16, wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications.

19. The system according to claim 16, wherein at least one of the dimensions includes a hierarchy.

20. The system according to claim 16, wherein the information is factual information.

21. The system according to claim 16, wherein a number of the dimensions in the multidimensional space is predetermined.

37. The system according to claim 16, wherein at least one of the dimensions has a range of values.

22. A system which, when executed on a processing device, provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures the processing device to perform the following;

a) access the multidimensional data which define a multidimensional space which is defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions being capable of providing variable information,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.

23. The system according to claim 22, wherein the profiles have static characteristics.

24. The system according to claim 23, wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension.

25. The system according to claim 24, wherein the processing subsystem which, when executed on the processing device, configures the processing device to further perform the following:

g) record each of the static profiles in a data storage arrangement as one record per each dimension.

26. The system according to claim 24, wherein the profiles have dynamic characteristics.

27. The system according to claim 26, wherein the dynamic profiles include at least one set of rules.

28. The system according to claim 26, wherein the dynamic profiles include at least one set of sequences.

29. The system according to claim 22, wherein the at least one recommendation is provided to the at least one of users and applications.

30. The system according to claim 22, wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information.

31. The system according to claim 22, wherein the at least one recommendation is generated by issuing a recommendation request-type query.

32. The system according to claim 31, wherein the recommendation request-type query is translatable into a Structured Query Language query.

38. The system according to claim 22, wherein at least one of the dimensions has a range of values.

33. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space which is defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) a second module which, when executed by the processing device, retrieves information from data associated with the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information.

39. The computer software according to claim 33, wherein at least one of the dimensions has a range of values.

34. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space defined by a Cartesian product of the dimensions, the multidimensional space having at least three dimensions, each of the dimensions being capable of providing variable information;

b) a second module which, when executed by the processing device, retrieves information data associated with from the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.

40. The computer software according to claim 34, wherein at least one of the dimensions has a range of values.

41. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising:

a) accessing the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, wherein at least one of the dimensions includes a hierarchy, each of the dimensions being capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) retrieving information from data associated with the multidimensional space; and

c) with a computer arrangement, generating the at least one recommendation based on the retrieved information.

42. The process according to claim 41, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.

43. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising:

a) accessing the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, each of the dimensions being capable of providing variable information;

b) retrieving information from data associated with the multidimensional space; and

c) with a computer arrangement, generating the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles that have dynamic characteristics and include at least one set of sequences.

44. The process according to claim 43, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.

45. A system which provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures a processing device to perform the following;

a) access the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, wherein at least one of the dimensions includes a hierarchy, each of the dimensions being capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information.

46. The system according to claim 45, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.

47. A system which, when executed on a processing device, provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures the processing device to perform the following;

a) access the multidimensional data which define a multidimensional space, the multidimensional spade having at least three dimensions, each of the dimensions being capable of providing variable information,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles that have dynamic characteristics and include at least one set of sequences.

48. The system according to claim 47, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.

49. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, wherein at least one of the dimensions includes a hierarchy, each of the dimensions capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) a second module which, when executed by the processing device, retrieves information from data associated with the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information.

50. The computer readable medium according to claim 49, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.

51. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, each of the dimensions being capable of providing variable information;

b) a second module which, when executed by the processing device, retrieves information data associated with from the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles that have dynamic characteristics and include at least one set of sequences.

52. The computer readable medium according to claim 51, wherein the multidimensional space is defined by a Cartesian product of the dimensions, and wherein the at least one recommendation includes multidimensional suggestions.