GENERATING PRODUCT RECOMMENDATIONS BASED ON DYNAMIC PRODUCT CONTEXT DATA AND/OR SOCIAL ACTIVITY DATA RELATED TO A PRODUCT

• US 20120278127A1
• Filed: 04/28/2011
• Published: 11/01/2012
• Est. Priority Date: 04/28/2011
• Status: Abandoned Application

• Current Assignee: Rawllin International Inc.
• Original Assignee: Rawllin International Inc.
• Inventors: Kirakosyan, Artem, Oskolkov, Ilya, Shishkov, Rodion, Sokolov, Igor
• Application Number:
  US13/096,790
• Publication Number:
  US 20120278127A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

Systems and methods are described for generating online product recommendations. A plurality of data objects representative of a plurality of items for user consumption from an online merchant are stored at a computing device. A method then comprises, registering a device associated with a user with the online merchant; and in response to registering the device: associating the device with at least one other device registered with the online merchant associated with an other user in response to selection of the at least one other device by the device, monitoring a first social activity of the at least one other device, wherein the first social activity includes a first activity related to an interaction of the at least one other device with at least one of the plurality of data objects, and collecting and storing first social activity data related to the first social activity of the at least one other device.

Claims

1. A method, comprising:

storing, by at least one computing device, a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

associating the plurality of data objects with context data including content data, user preference data and aggregated other user preference data; and

rendering a subset of the plurality of data objects based on the context data associated therewith.

2. The method of claim 1, further comprising, storing the context data by the at least one computing device.

3. The method of claim 2, further comprising, receiving new context data and dynamically updating the context data based on the new context data in response to the receiving.

4. The method of claim 1, further comprising:

filtering the plurality of data objects or the subset of the plurality of data objects based on at least one user defined criterion encompassed by the context data.

5. The method of claim 1, further comprising:

presenting each of the plurality of data objects of the subset with relative context data associated therewith.

6. The method of claim 1 wherein the user preference data includes at least one of a user rating or review for at least one of the plurality of data objects.

7. The method of claim 1, further comprising making an inference on behalf of the user to determine the user preference data based on at least one of a user profile or a social graph of the user.

8. The method of claim 7, further comprising:

receiving the social graph of the user from a data store managed by a social networking service.

9. The method of claim 1, wherein the aggregated other user preference data includes at least one of other user ratings or reviews for at least one of the plurality of data objects.

10. The method of claim 1, further comprising making an inference on behalf of the one or more other users to determine the aggregated user preference data based on at least one of one or more profiles of the other users or one or more social graphs of the other users.

11. A method, comprising:

accessing, by at least one computing device, a plurality of data objects representative of a plurality of items for consumption by a user from an online merchant, wherein each of the plurality of data objects are associated with context data including content data, user preference data and aggregated other user preference data;

requesting a first subset of the plurality of data objects based on the context data; and

receiving a computer generated output including the first subset of the plurality of data objects.

12. The method of claim 11, further comprising dynamically updating the context data based on new context data in response to receiving the new context data.

13. The method of claim 11, further comprising:

selecting at least one searchable criterion related to the context data;

requesting a second subset of the plurality of data objects based on the at least one searchable criterion; and

wherein the receiving the computer generated output includes receiving the second subset of the plurality of data objects.

14. The method of claim 11, further comprising:

selecting at least one searchable criterion related to the context data;

requesting a second subset of the first subset of the plurality of data objects based on the at least one searchable criterion; and

wherein the receiving the computer generated output includes receiving the second subset of the plurality of data objects.

15. The method of claim 11, further comprising:

selecting at least one data object and receiving the context data associated therewith.

16. The method of claim 11, further comprising, providing the user preference data by:

selecting at least one data object from the first subset; and

submitting at least one of a rating or a review the item associated with the at least one data object.

17. The method of claim 11, wherein the user preference data includes data related to an affinity of the user for an item based on at least one of a profile of the user or a social graph of the user.

18. The method of claim 17, further comprising:

providing access to social graph information for the social graph of the user from a data store managed by a social networking service.

19. The method of claim 11 wherein the aggregated other user preference data includes at least one of other user ratings or reviews for at least one of the plurality of data objects.

20. The method of claim 11, wherein the aggregated other user preference data includes data related to at least one affinity of at least one other user for an item based on at least one of a profile for the at least one other user or a social graph for the at least one other user.

21. A system, comprising:

a data store configured to store a plurality of data objects representative of a plurality of items for consumption by a user from an online merchant, wherein each of the plurality of data objects include context data including content data, user preference data and aggregated other user preference data; and

a recommendation component configured to generate a subset of the plurality of data objects based on the context data.

22. The system of claim 21, further comprising:

an update component configured to receive new context data and dynamically update the context data in the data store based on the new context data.

23. The system of claim 21, further comprising:

a filter component configured to filter the plurality of data objects or the subset of the plurality of data objects based on at least one user defined criterion.

24. The system of claim 21, further comprising:

a presentation component configured to present each of the plurality of data objects of the subset with the relative context data associated therewith.

25. The system of claim 21, wherein the user preference data includes at least one of a user rating or review for at least one of the plurality of data objects.

26. The system of claim 21, further comprising an inference component configured to make an inference on behalf of the user to determine the user preference data based on at least one of a user profile or a user social graph.

27. The system of claim 21, wherein the aggregated other user preference data includes at least one of other user ratings or reviews for at least one of the plurality of data objects.

28. The system of claim 21, further comprising an inference component configured to make an inference on behalf of the one or more other users to determine the aggregated user preference data based on at least one of one or more profiles or social graphs of other users.

29. A computer readable storage medium comprising computer executable instructions that, in response to execution by a computing system, cause the computing system to perform operations, comprising:

storing, by at least one computing device, a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

associating each of the plurality of data objects with context data including content data, user preference data and aggregated other user preference data;

generating a subset of the plurality of data objects based on the context data.

30. The computer readable storage medium of claim 29, the operations further comprising, storing the context data by the at least one computing device.

31. The computer readable storage medium of claim 30, the operations further comprising, receiving new context data and dynamically updating the context data based on the new context data in response to the receiving.

32. The computer readable storage medium of claim 29, the operations further comprising filtering the plurality of data objects or the subset of the plurality of data objects based on at least one user defined criterion.

33. The computer readable storage medium of claim 29, the operations further comprising, presenting each of the plurality of data objects of the subset with the relative context data associated thereto.

34. The computer readable storage medium of claim 29, wherein the user preference data includes at least one of a user rating or review for at least one of the plurality of data objects.

35. The computer readable storage medium of claim 29, the operations further comprising making an inference on behalf of the user to determine the user preference data based on at least one of a user profile or a user social graph.

36. The computer readable storage medium of claim 29, wherein the aggregated other user preference data includes at least one of other user ratings or reviews for at least one of the plurality of data objects.

37. The computer readable storage medium of claim 29, the operations further comprising making an inference on behalf of the one or more other users to determine the aggregated user preference data based on at least one of one or more profiles or social graphs of the one or more other users.

38. A system comprising:

means for accessing, a plurality of data objects representative of a plurality of items for user consumption from an online merchant, wherein each of the plurality of data objects are associated with context data including content data, user preference data and aggregated other user preference data;

means for requesting a first subset of the plurality of data objects based on the context data; and

means for outputting the first subset of the plurality of data objects.

39. A method, comprising:

storing by a computing device, a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

registering a device associated with a user with the online merchant; and

in response to registering the device;

associating the device with at least one other device registered with the online merchant associated with an other user in response to selection of the at least one other device by the device;

monitoring a first social activity of the at least one other device, wherein the first social activity includes a first activity related to an interaction of the at least one other device with at least one of the plurality of data objects; and

collecting and storing first social activity data related to the first social activity of the at least one other device.

40. The method of claim 39, further comprising:

generating a subset of the plurality of data objects based on the first social activity data.

41. The method of claim 39, further comprising, providing the device access to the first social activity data.

42. The method of claim 39, further comprising:

monitoring at least a second social activity of the at least one other device, wherein the at least the second social activity includes a second activity related to an interaction by the at least one other device with at least one of the plurality of data objects;

collecting and storing second social activity data related to the social activity of the at least one other registered device;

associating the first social activity data with a first social weight and the at least second social activity data with a second social weight;

calculating an aggregated social activity weight based on the sum of the first social weight and the second social weight; and

generating a subset of the plurality of data objects based on the aggregated social activity weight.

43. The method of claim 39, wherein the monitoring the first social activity of the at least one other registered device includes monitoring at least one of when the at least one data object is rated by the at least one other device, when the at least one data object is favored by the at least one other device, when the at least one data object is disfavored by the at least one other device, when a data object is reviewed by the at least one other device, or when a data object is purchased by the at least one other device.

44. The method of claim 39, wherein the registering the device further comprises verifying the registration of the device through an external network affiliated with the online merchant.

45. The method of claim 39, wherein the associating the registered device with the at least one other device comprises:

comparing preference data associated with the device and multiple registered devices including the at least one other device, and identifying at least one similarity in the preference data for the device and the at least one other device.

46. A method, comprising:

accessing, by a computing device associated with a user, a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

registering the computing device associated with the online merchant, and in response to the registering;

selecting by the computing device, at least one other device registered with the online merchant associated with an other user as friend;

requesting a first subset of the plurality of data objects based on first social activity data, wherein the first social activity data includes data related to a first activity of an interaction by the least one other device with at least one of the plurality of data objects; and

outputting the first subset.

47. The method of claim 46, further comprising

requesting a second subset of the plurality of data objects based on the first social activity data and second social activity data, wherein the second social activity data includes data related to a second activity of an interaction by the least one other device with at least one of the plurality of data objects;

and

wherein the outputting includes outputting the subset of the plurality of data objects based on the first social activity data and the second social activity data.

48. The method of claim 46, further comprising, viewing the first social activity data with the computing device.

49. The method of claim 46, wherein the requesting the first subset of the plurality of data objects based on the first social activity data includes requesting data related to at least one of when the at least one data object is rated by the at least one other device, when the at least one data object is favoured by the at least one other device, when the at least one data object is disfavoured by the at least one other device when a data object is reviewed by the at least one other device, or when a data object is purchased by the at least one other device.

50. The method of claim 46, wherein the selecting the at least one other device comprises sending a request to the at least one other device to become a friend of the computing device and receiving acceptance of the request.

51. The method of claim 46, wherein the selecting the at least one other device comprises receiving a recommendation to select the at least one other device based on a comparison of preference data associated with the computing device and the other device.

52. The method of claim 46, further comprising:

sending a request to an unregistered device associated with an unregistered user to become a registered user.

53. The method of claim 46, further comprising:

sending a message to the at least one other device comprising at least one of a rating or a review of at least one of the plurality of data objects.

54. A system comprising:

data storage configured to store a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

an authorization component configured to register a device associated with a user of the online merchant;

a friend component configured to associate the registered device with at least one other device registered with the online merchant associated with an other user in response to selection of the at least one other device by the device; and

a monitoring component configured to monitor social activities of the at least one other device, wherein the social activities include different social activities related to an interaction by the at least one other device with at least one of the plurality of data objects, the monitoring component further configured to collect and store social activity data related to each of the different social activities monitored.

55. The system of claim 54, further comprising:

a recommendation component configured to generate a subset of the plurality of data objects based on at least a part of the social activity data.

56. The system of claim 54, wherein the recommendation component is further configured to:

apply a different social weight value to the social activity data for each of the different social activities monitored;

calculate an aggregated social activities weight value based on a sum of the different social weight values; and

employ a computer to generate a subset of the plurality of data objects based on the aggregated social activities weight value.

57. The system of claim 54, wherein the monitoring component is configured to monitor at least one of when the at least one data object is rated by the at least one other device, when the at least one data object is favoured by the at least one other device, when the at least one data object is disfavoured by the at least one other device when a data object is reviewed by the at least one other device, or when a data object is purchased by the at least one other device.

58. The system of claim 54, wherein the friend component is further configured to:

compare preference data associated with the device and multiple registered devices including the at least one other device;

identify at least one similarity in the preference data for the device and the at least one other device; and

in response to the identification of the at least one similarity, facilitate associating the registered device with the at least one other device.

59. A computer readable storage medium comprising computer executable instructions that, in response to execution by a computing system, cause the computing system to perform operations, comprising:

comprising;

accessing by a computing device associated with a user, a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

registering the device associated with the online merchant; and

in response to registering;

selecting at least one other device registered with the online merchant associated with an other user as friend;

requesting a first subset of the plurality of data objects based on first social activity data, wherein the first social activity includes data related to a first activity of an interaction by the least one other device with at least one of the plurality of data objects; and

receiving a computer generated output comprising the first subset of the plurality of data objects based on the first social activity data.

60. The computer readable storage medium of claim 59, the operations further comprising:

requesting a second subset of the plurality of data objects based on the first social activity data and at least second social activity data, wherein the second social activity includes data related to a second activity of an interaction by the least one other device with at least one of the plurality of data objects; and

wherein the receiving the computer generated output includes receiving the second subset.

61. A system comprising:

means for storing a plurality of data objects representative of a plurality of items for user consumption from an online merchant;

means for registering a device associated with a user with the online merchant;

means for associating the registered device with at least one other device registered with the online merchant associated with an other user in response to selection of the at least one other device by the device; and

means for monitoring social activities of the at least one other device, wherein the social activities include different social activities related to an interaction by the at least one other device with at least one of the plurality of data objects, the monitoring component further configured to collect and store social activity data related to each of the different social activities monitored.