Systems, methods, and computer readable media for generating recommendations in a media recommendation system

• US 8,909,667 B2
• Filed: 11/01/2012
• Issued: 12/09/2014
• Est. Priority Date: 11/01/2011
• Status: Active Grant

• Current Assignee: ZAMA Innovations LLC
• Original Assignee: Lemi Technology, LLC (Concert Technology Corporation)
• Inventors: Svendsen, Hugh Blake
• Primary Examiner(s): Coby, Frantz
• Application Number:
  US13/666,808
• Publication Number:
  US 20130110848A1
• Time in Patent Office: 768 Days
• Field of Search: 707/769, 707913-917, 709/248, 370/386, 370/390, 715/811
• US Class Current: 707/769
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles

Abstract

Methods and systems for generating media item recommendations are disclosed herein. According to an aspect, a method may include using at least a processor and memory for receiving candidate media items associated with one or more computing devices that either has recently played or is currently playing a media item currently being played by another computing device. The method may also include determining recommendation scores for the candidate media items based on occurrence counts of the media items within a predetermined time period. Further, the method may include generating a media item recommendation for the other computing device based on the recommendation scores.

Claims

1. A method of generating media item recommendations, the method comprising:

using at least a processor and memory of a computing device for;

obtaining play schedules associated with a plurality of other computing devices, the other computing devices currently playing or recently having played a reference media item, at least one of the play schedules comprising media items scheduled to be played and recently played media items;

determining recommendation scores for candidate media items contained in the play schedules; and

generating a media item recommendation for the reference media item based on the recommendation scores.

2. The method of claim 1, wherein at least one play schedule is comprised of recently played media items by a corresponding other computing device.

3. The method of claim 1, wherein at least one play schedule is comprised of a currently playing media item by a corresponding other computing device.

4. The method of claim 1, wherein at least one play schedule is comprised of media items scheduled for future playback by a corresponding other computing device.

5. The method of claim 1, wherein all of the media items are one of audio, video, and text.

6. The method of claim 1, wherein the recommendation scores are based on the candidate media items occurring within an analysis window.

7. The method of claim 6, wherein the analysis window includes candidate media items occurring after a currently playing media item.

8. The method of claim 6, wherein the analysis window includes candidate media items occurring before a currently playing media item.

9. The method of claim 6, wherein the analysis window duration is measured in units of time.

10. The method of claim 9, wherein the analysis window duration is determined as a function of the duration of a currently playing media item.

11. The method of claim 9, wherein the analysis window duration is determined as a function of a media type of media items in the play schedules.

12. The method of claim 6, wherein the analysis window is measured in units of media items.

13. The method of claim 1, wherein the media item recommendation indicates a media item corresponding to one of the candidate media items.

14. The method of claim 1, wherein the media item recommendation is provided to another computing device currently playing the reference media item for future playback.

15. The method of claim 14, further comprising using the computing device to play back the media item associated with the media item recommendation.

16. The method of claim 15, further comprising using the computing device to play back the media item associated with the media item recommendation in response to receiving the media item recommendation.

17. The method of claim 1, wherein recently played corresponds to the reference media item being played within a predetermined time period of a current time.

18. The method of claim 1, wherein recently played corresponds to the reference media item being played within a predetermined number of previously played media items.

19. The method of claim 1, further comprising selecting the play schedules based on a profile match between a profile of a user of a target device and profiles of users of the other computing devices.

20. The method of claim 19, wherein the user profile is comprised of items selected from the group consisting of:

influence rating, last appearance, geographic location, geographic proximity, media source, and relative playback position.

21. The method of claim 1, wherein the computing device is a server.

22. The method of claim 1, wherein the reference media item is the media item currently being played by the computing device requesting the media item recommendation.

23. A method of providing media recommendations, the method comprising:

using at least a processor and memory of a computing device for;

obtaining information identifying one or more upcoming media items from one or more other computing devices playing a current media item; and

selecting for playback one or more of the one or more upcoming media items.

24. A server comprising:

a communications interface configured to communicate with a plurality of other computing devices and a computing device; and

a processor coupled to the communications interface and configured to;

obtain play schedules associated with the plurality of other computing devices, the other computing devices currently playing or recently having played a reference media item, at least one of the play schedules comprising media items scheduled to be played and recently played media items;

determine recommendation scores for candidate media items contained in the play schedules; and

generate a media item recommendation for the reference media item based on the recommendation scores.

25. A computer program product comprising:

a computer readable storage medium having computer readable program code embodied therein, the computer readable program code comprising;

computer readable program code configured to obtain play schedules associated with a plurality of other computing devices, the other computing devices currently playing or recently having played a reference media item, at least one of the play schedules comprising media items scheduled to be played and recently played media items;

computer readable program code configured to determine recommendation scores for candidate media items contained in the play schedules; and

computer readable program code configured to generate a media item recommendation for the reference media item based on the recommendation scores.