Method and system for generating media recommendations in a distributed environment based on tagging play history information with location information

• US 8,332,425 B2
• Filed: 11/01/2011
• Issued: 12/11/2012
• Est. Priority Date: 12/21/2007
• Status: Active Grant

• Current Assignee: Ikorongo Texas, LLC (Concert Technology Corporation)
• Original Assignee: Napo Enerprises, LLC (Concert Technology Corporation)
• Inventors: Svendsen, Hugh, Farrelly, Eugene Matthew
• Primary Examiner(s): Pham, Hung Q
• Application Number:
  US13/286,746
• Publication Number:
  US 20120054233A1
• Time in Patent Office: 406 Days
• Field of Search: None
• US Class Current: 707/769
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: Y10S 707/912 Applications of a database
• CPC Class Codes: Y10S 707/916 Audio

Abstract

A computer-implemented method and system are provided for generating media recommendations in a media recommendation network. Aspects of the method and system include receiving by a server a plurality of play histories of media items from a plurality of users of devices, wherein at least a portion of the media items are tagged with corresponding time and location data indicating a time and location of play; receiving by the server a media recommendation request from a requester, including receiving seed information indicating a current location of the requester; using at least one of user preferences of the requester and the seed information to identify correlated users from which to search corresponding play histories from among the plurality of play histories; comparing the seed information to the corresponding play histories and generating a list of related media items contained therein; and returning the list of related media items to the requester.

Claims

1. A computer-implemented method for generating a media recommendation, comprising:

receiving by a server from a plurality of user devices a plurality of play histories of media items played by a plurality of users, wherein each play history of the plurality of play histories indicates media items played by a corresponding one of the plurality of users and is tagged with time and location of play for each of at least a portion of the media items indicated in the play history;

receiving by the server a media recommendation request from a requester, including receiving seed information, wherein the received seed information indicates a current location of the requester;

comparing the received seed information to at least a subset of the plurality of play histories to generate a list of related media items from the at least a subset of the plurality of play histories; and

sending the list of related media items to the requester.

2. The computer-implemented method of claim 1 wherein the received seed information further comprises time data.

3. The computer-implemented method of claim 2 wherein comparing the received seed information to the at least a subset of the plurality of play histories comprises correlating the media items in the at least a subset of the plurality of play histories based on the current location of the requester and the time data from the seed information.

4. The computer-implemented method of claim 3 wherein the time data represents one of a time that the media recommendation request was sent, and a time cut-off value, wherein the time cut-off value is used to select media items having corresponding time and location data that indicate the media items were played after the time cut-off value.

5. The computer-implemented method of claim 1 wherein the seed information further comprises a list of user ID'"'"'s of friends received from the requester that is used to filter the plurality of play histories.

6. The computer-implemented method of claim 1 wherein the seed information further comprises a seed media item that is used to find similar media items during generation of the list of related media items.

7. The computer-implemented method of claim 1 wherein the seed information further comprises a termination condition that specifies a number of media items to return in the list of related media items.

8. The computer-implemented method of claim 1 wherein the seed information further comprises user selection methods for correlating users from the plurality of users.

9. The computer-implemented method of claim 8 wherein the user selection methods include a proximity weight that searches only play histories of a plurality of users within proximity of the requester.

10. The computer-implemented method of claim 8 wherein the user selection methods include a profile weight that searches only play histories of a plurality of users that have user preferences less than a minimum distance between at least one user preference of the requester based on a profile matching scheme.

11. The computer-implemented method of claim 8 wherein the user selection methods include a social distance weight that searches only play histories of a plurality of users within N steps of the requester within a social network.

12. The computer-implemented method of claim 8 wherein the user selection methods include a status weight that searches only play histories of a plurality of users who have a current status of “

online.”

13. The computer-implemented method of claim 1 wherein the seed information further comprises content selection methods for filtering the plurality of play histories.

14. The computer-implemented method of claim 13 wherein the content selection methods include a proximity weight that selects media items having a play location within proximity of the current location of the requester.

15. The computer-implemented method of claim 13 wherein the content selection methods include a temporal weight that selects media items having a time of access that matches within a time threshold of time data specified in the seed information.

16. The computer-implemented method of claim 13 wherein the content selection methods include a performance weight that selects media items having a live performance location within proximity of the current location of the requester.

17. The computer-implemented method of claim 13 wherein the content selection methods include a creator weight that selects media items having groups who created the media items that were located within proximity of the current location of the media recommendation request.

18. The computer-implemented method of claim 13 wherein the content selection methods include an age weight that selects media items having a time that has lapsed since the media items were last accessed that matches a criteria provided by the requester.

19. A server comprising:

a processor configured to;

receive from a plurality of devices a plurality of play histories of media items played by a plurality of users, wherein each play history of the plurality of play histories indicates media items played by a corresponding one of the plurality of users and is tagged with time and location of play for each of at least a portion of the media items indicated in the play history;

receive a media recommendation request from a requester, including receiving seed information, wherein the received seed information indicates a current location of the requester;

compare the received seed information to at least a subset of the plurality of play histories to generate a list of related media items from the at least a subset of the plurality of play histories; and

send the list of related media items to the requester.

20. The server of claim 19 wherein the received seed information further comprises time data.

21. The server of claim 20 wherein comparing the received seed information to the at least a subset of the plurality of play histories comprises correlating the media items in the at least a subset of the plurality of play histories based on the current location of the requester and the time data from the seed information.

22. The server of claim 21 wherein the time data represents one of a time that the media recommendation request was sent, and a time cut-off value, wherein the time cut-off value is used to select media items having corresponding time and location data that indicate the media items were played after the time cut-off value.

23. The server of claim 19 wherein the seed information further comprises a list of user ID'"'"'s of friends specified by the requester that is used to filter the plurality of play histories.

24. The server of claim 19 wherein the seed information further comprises a seed media item that is used to find similar media items during generation of the list of related media items.

25. The server of claim 19 wherein the seed information further comprises a termination condition that specifies a number of media items to return in the list of related media items.

26. The server of claim 19 wherein the seed information further comprises user selection methods for correlating users from the plurality of users.

27. The server of claim 26 wherein the user selection methods include a proximity weight that searches only play histories of a plurality of users within proximity of the requester.

28. The server of claim 26 wherein the user selection methods include a profile weight that searches only play histories of a plurality of users that have user preferences less than a minimum distance between at least one user preference of the requester based on a profile matching scheme.

29. The server of claim 26 wherein the user selection methods include a social distance weight that searches only play histories of a plurality of users having a received location and that are within N steps of the requester within a social network.

30. The server of claim 26 wherein the user selection methods include a status weight that searches only play histories of a plurality of users who have a current status of “

online.”

31. The server of claim 19 wherein receiving the seed information further comprises receiving content selection methods for filtering the plurality of play histories.

32. The server of claim 31 wherein the content selection methods include a proximity weight that selects media items having a play location within proximity of the current location of the requester.

33. The server of claim 31 wherein the content selection methods include a temporal weight that selects media items having a time of access that matches within a time threshold of time data specified in the seed information.

34. The server of claim 31 wherein the content selection methods include a performance weight that selects media items having a live performance location within proximity of the current location of the requester.

35. The server of claim 31 wherein the content selection methods include a creator weight that selects media items having groups who created the media items that were located within proximity of the current location of the media recommendation request.

36. The server of claim 31 wherein the content selection methods include an age weight that selects media items having a time lapse since the media items were last accessed that matches a criteria received from the requester.

37. A non-transitory computer readable medium comprising software with instructions to cause a computer to:

receive from a plurality of devices a plurality of play histories of media items played by a plurality of users, wherein each play history of the plurality of play histories indicates media items played by a corresponding one of the plurality of users and is tagged with time and location of play for each of at least a portion of the media items indicated in the play history;

receive a media recommendation request from a requester, including receiving seed information, wherein the received seed information indicates a current location of the requester;

compare the received seed information to at least a subset of the plurality of play histories to generate a list of related media items from the at least a subset of the plurality of play histories; and

send the list of related media items to the requester.