SYSTEM AND METHOD FOR REPORTING AND ANALYSIS OF MEDIA CONSUMPTION DATA

• US 20100082688A1
• Filed: 09/30/2008
• Published: 04/01/2010
• Est. Priority Date: 09/30/2008
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Ghezzi, Nicola Stefano, Davis, Marc Eliot, Higgins, Christopher William, Spiegelman, Michael, Kalaboukis, Chris, Martinez, Ronald, Paretti, Christopher T.
• Granted Patent: US 9,600,484 B2
• Time in Patent Office: Days
• US Class Current: N/A
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/489 using time information

Abstract

A system and method for reporting and analysis of media consumption data. A request is received over a network from a requesting user for consumption data relating to at least one media object, the request comprising an identification of the media objects. Spatial, temporal, topical, and social data available to the network relating to consumption of the media object are retrieved using a global index of data available to the network. The spatial, temporal, topical, and social data available to the network relating to consumption of the media objects are transmitted, over the network to the requesting user.

Claims

1. A method comprising:

receiving, over a network, a request from a requesting user for consumption data relating to at least one media object, the request comprising an identification of the at least one media object;

retrieving spatial, temporal, topical, and social data available to the network relating to consumption of the at least one media object using a global index of data available to the network;

transmitting, over the network the spatial, temporal, topical, and social data available to the network relating to consumption of the at least one media object to the requesting user.

2. The method of claim 1 wherein the identification of the at least one media object is an identification of a specific file.

3. The method of claim 1 wherein the identification of the at least one media object is an identification of specific content.

4. The method of claim 1 wherein the identification of the at least one media object is a generic identification that describes the physical attributes of at least one file.

5. The method of claim 1 wherein the identification of the at least one media object is a generic identification that describes consumption attributes of at least one file.

6. The method of claim 1 wherein the identification of the at least one media object is a generic identification that comprises spatial, temporal, topical and social criteria.

7. The method of claim 1 wherein the request further comprises at least one filtration criteria and the method comprises the additional step of:

filtering, via the network, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one filtration criteria, wherein

the filtered data relating to consumption of the at least one media object are transmitted to the requesting user.

8. The method of claim 7 wherein the at least one filtration criteria identifies at least one type of data to be included in the filtered data relating to consumption of the at least one media object, whereby all other types of data are excluded.

9. The method of claim 7 wherein the at least one filtration criteria specifies the order of at least one type of data in the filtered data relating to consumption of the at least one media object.

10. The method of claim 7 wherein if no filtration criteria are provided, at least one default filtration criteria is used to the filter the spatial, temporal, topical, and social data relating to consumption of the at least one media object

11. The method of claim 1 wherein the request further comprises at least one data analysis criteria and the method comprises the additional step of:

analyzing, via the network, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one data analysis criteria, wherein

the analyzed data relating to consumption of the at least one media object are transmitted to the requesting user.

12. The method of claim 10 wherein the at least one data analysis criteria identifies at least one data type for which counts of occurrences of unique values of the at least one data type are to be provided.

13. The method of claim 10 wherein the at least one data analysis criteria identifies at least one data type for which linear regression of data values of the at least one data type is to be performed.

14. The method of claim 10 wherein if no data analysis criteria are provided, at least one default data analysis criteria is used to the analyze spatial, temporal, topical, and social data relating to consumption of the at least one media object

15. The method of claim 7 wherein the request further comprises at least one data analysis criteria and the method comprises the additional step of:

analyzing, via the network, the filtered spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one data analysis criteria, wherein

the analyzed data relating to consumption of the at least one media object are transmitted to the requesting user.

16. A system comprising:

a request receiving module that receives, over a network, requests from requesting users for consumption data relating to at least one media object, wherein each request comprises an identification of the at least one media object;

a media consumption data retrieval module that retrieves, for each request, spatial, temporal, topical, and social data available to the network relating to consumption of the at least one media object using a global index of data available to the network;

a media consumption data filtration module that filters, for each request that further comprises at least one filtration criteria, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one filtration criteria;

a media consumption data analysis module that analyzes, for each request that further comprises at least one data analysis criteria, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one data analysis criteria

a media consumption data transmission module that transmits, over the network, for each request, the filtered and analyzed relating to consumption of the at least one media object to the requesting user.

17. The system of claim 16 wherein for at least some requests, the identification of the at least one media object is an identification of a specific file.

18. The system of claim 16 wherein for at least some requests, the identification of the at least one media object is an identification of specific content.

19. The system of claim 16 wherein for at least some requests, the identification of the at least one media object is a generic identification that describes the physical attributes of at least one file.

20. The system of claim 16 wherein for at least some requests, the identification of the at least one media object is a generic identification that describes consumption attributes of at least one file.

21. The system of claim 16 wherein for at least some requests, the identification of the at least one media object is a generic identification that comprises spatial, temporal, topical and social criteria.

22. The system of claim 16 wherein for at least some requests, the at least one filtration criteria identifies at least one type of data to be included in the filtered data relating to consumption of the at least one media object, whereby all other types of data are excluded.

23. The system of claim 22 wherein for at least some requests, the at least one filtration criteria specifies the order of at least one type of data in the filtered data relating to consumption of the at least one media object.

24. The system of claim 16 wherein if no filtration criteria are provided for at least some requests, at least one default filtration criteria is used to filter the spatial, temporal, topical, and social data relating to consumption of the at least one media object.

25. The method of claim 16 wherein the at least one data analysis criteria identifies at least one data type for which counts of occurrences of unique values of the at least one data type are to be provided.

26. The system of claim 16 wherein for at least some requests, the at least one data analysis criteria identifies at least one data type for which linear regression of data values of the at least one data type is to be performed.

27. The system of claim 16 wherein if no data analysis criteria are provided for at least some requests, at least one default data analysis criteria is used to the analyze spatial, temporal, topical, and social data relating to consumption of the at least one media object.

28. A computer-readable medium having computer-executable instructions for a method comprising the steps of:

receiving, over a network, a request from a requesting user for consumption data relating to at least one media object, the request comprising an identification of the at least one media object;

retrieving spatial, temporal, topical, and social data available to the network relating to consumption of the at least one media object using a global index of data available to the network;

transmitting, over the network the spatial, temporal, topical, and social data available to the network relating to consumption of the at least one media object to the requesting user.

29. The computer-readable medium of claim 28 wherein the identification of the at least one media object is an identification of a specific file.

30. The computer-readable medium of claim 28 wherein the identification of the at least one media object is an identification of specific content.

31. The computer-readable medium of claim 28 wherein the identification of the at least one media object is a generic identification that describes the physical attributes of at least one file.

32. The computer-readable medium of claim 28 wherein the identification of the at least one media object is a generic identification that describes consumption attributes of at least one file.

33. The computer-readable medium of claim 28 wherein the identification of the at least one media object is a generic identification that comprises spatial, temporal, topical and social criteria.

34. The computer-readable medium of claim 28 wherein the request further comprises at least one filtration criteria and the method comprises the additional step of:

filtering, via the network, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one filtration criteria, wherein

the filtered data relating to consumption of the at least one media object are transmitted to the requesting user.

35. The computer-readable medium of claim 34 wherein the at least one filtration criteria identifies at least one type of data to be included in the filtered data relating to consumption of the at least one media object, whereby all other types of data are excluded.

36. The computer-readable medium of claim 34 wherein the at least one filtration criteria specifies the order of at least one type of data in the filtered data relating to consumption of the at least one media object.

37. The computer-readable medium of claim 34 wherein if no filtration criteria are provided, at least one default filtration criteria is used to the filter the spatial, temporal, topical, and social data relating to consumption of the at least one media object

38. The computer-readable medium of claim 28 wherein the request further comprises at least one data analysis criteria and the method comprises the additional step of:

analyzing, via the network, the spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one data analysis criteria, wherein

the analyzed data relating to consumption of the at least one media object are transmitted to the requesting user.

39. The computer-readable medium of claim 28 wherein the at least one data analysis criteria identifies at least one data type for which counts of occurrences of unique values of the at least one data type are to be provided.

40. The computer-readable medium of claim 28 wherein the at least one data analysis criteria identifies at least one data type for which linear regression of data values of the at least one data type is to be performed.

41. The computer-readable medium of claim 28 wherein if no data analysis criteria are provided, at least one default data analysis criteria is used to the analyze spatial, temporal, topical, and social data relating to consumption of the at least one media object

42. The computer-readable medium of claim 34 wherein the request further comprises at least one data analysis criteria and the method comprises the additional step of:

analyzing, via the network, the filtered spatial, temporal, topical, and social data relating to consumption of the at least one media object using the at least one data analysis criteria, wherein

the analyzed data relating to consumption of the at least one media object are transmitted to the requesting user.