ADAPTIVE MUSIC AND VIDEO RECOMMENDATIONS

• US 20150220525A1
• Filed: 02/04/2014
• Published: 08/06/2015
• Est. Priority Date: 02/04/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Ning, Huazhong, Eck, Douglas, Ross, David Alexander, Althoff, Christopher Tim, Tarifi, Mohamad
• Granted Patent: US 9,619,470 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

A user feedback module, executable by a processing device from memory is disclosed. The user feedback module receives from a user device a selection of a seed media item. The seed media item includes a seed label. The user feedback module further generates a list, the list includes the seed label and a set of related labels based on the seed label. The seed label and each related label include a separate label weight. The user feedback module also identifies multiple media items associated with an associate label. The associate label includes at least one of the seed label or a related label of the first set of related labels. The user feedback module also transmits to the user device a first media item from the multiple media items. The user feedback module adjusts the label weight of the associate label based on a user feedback on the first media item.

Claims

1. A method comprising:

receiving from a user device a selection of a seed media item, the seed media item comprising a seed label;

generating a list comprising the seed label and a first set of related labels based on the seed label, the seed label and each related label comprising a separate label weight;

identifying a plurality of media items associated with an associate label, wherein the associate label comprises at least one of the seed label or a related label of the first set of related labels;

transmitting to the user device a first media item of the plurality of media items associated with an associate label; and

adjusting the label weight of the associate label of the first media item based on a user feedback, wherein the user feedback is received from the user device for the first media item.

2. The method of claim 1, further comprising:

identifying a second set of related labels based on the adjusted label weight of the associate label; and

updating the list to contain the second set of related labels.

3. The method of claim 1, further comprising:

identifying an additional label when the adjusted label weight of the associate label exceeds a first threshold value, wherein the additional label relates to the associate label.

4. The method of claim 1, further comprising:

calculating a cumulative weight of the separate label weights of the list;

comparing the cumulative weight of the separate label weights of the list to a second threshold value; and

replacing one or more of the related labels of the first set of related labels of the list with a second set of related labels when the cumulative weight is under the second threshold value, the second set of related labels based on the seed label.

5. The method of claim 1, further comprising:

assigning a media weight to each of the plurality of media items associated with the associate label.

6. The method of claim 5, wherein the first media item is transmitted to the user device is based on the media weight of each of the plurality of media items.

7. The method of claim 5, further comprising:

calculating a full-rank weight for each of the plurality of media items associated with the associate label, the full-rank weight comprising a combination of the label weight of the associate label and the media weight of each of the plurality of media items.

8. The method of claim 1, wherein the user feedback comprises an explicit user feedback, the explicit user feedback comprising at least one of a like action, a dislike action, a comment, removal action, or a sharing action.

9. The method of claim 1, wherein the user feedback comprises an implicit user feedback, the implicit user feedback comprising at least one of a long watch action or a skip action.

10. The method of claim 1, wherein the label weight of the associate label is adjusted based on a temporal relation to the user feedback.

11. The method of claim 1, wherein the seed label and each of related labels of the first set of related labels comprise an artist identifier and each of a plurality of media items associated with an associate label comprise a video identifier.

12. A non-transitory machine-readable storage medium storing instructions which, when executed, cause a processing device to perform operations comprising:

receiving from a user device a selection of a seed media item, the seed media item comprising a seed label;

generating a list comprising the seed label and a first set of related labels based on the seed label, the seed label and each related label comprising a separate label weight;

identifying a plurality of media items associated with an associate label, wherein the associate label comprises at least one of the seed label or a related label of the first set of related labels;

transmitting to the user device a first media item of the plurality of media items associated with an associate label; and

adjusting the label weight of the associate label of the first media item based on a user feedback, wherein the user feedback is received from the user device for the first media item.

13. A non-transitory machine-readable storage medium of claim 12, further comprising:

identifying a second set of related labels based on the adjusted label weight of the associate label; and

updating the list to contain the second set of related labels.

14. A non-transitory machine-readable storage medium of claim 12, further comprising:

identifying an additional label when the adjusted label weight of the associate label exceeds a first threshold value, wherein the additional label relates to the associate label.

15. A non-transitory machine-readable storage medium of claim 12, further comprising:

calculating a cumulative weight of the separate label weights of the list;

comparing the cumulative weight of the separate label weights of the list to a second threshold value; and

replacing one or more of the related labels of the first set of related labels of the list with a second set of related labels when the cumulative weight is under the second threshold value, the second set of related labels based on the seed label.

16. A non-transitory machine-readable storage medium of claim 12, further comprising:

assigning a media weight to each of the plurality of media items associated with the associate label.

17. A non-transitory machine-readable storage medium of claim 16, wherein the first media item is transmitted to the user device is based on the media weight of each of the plurality of media items.

18. A non-transitory machine-readable storage medium of claim 16, further comprising:

calculating a full-rank weight for each of the plurality of media items associated with the associate label, the full-rank weight comprising a combination of the label weight of the associate label and the media weight of each of the plurality of media items.

19. A non-transitory machine-readable storage medium of claim 12, wherein the user feedback comprises an explicit user feedback, the explicit user feedback comprising at least one of a like action, a dislike action, a comment, removal action, or a sharing action.

20. A non-transitory machine-readable storage medium of claim 12, wherein the user feedback comprises an implicit user feedback, the implicit user feedback comprising at least one of a long watch action or a skip action.

21. A non-transitory machine-readable storage medium of claim 12, wherein the label weight of the associate label is adjusted based on a temporal relation to the user feedback.

22. A non-transitory machine-readable storage medium of claim 12, wherein the seed label and each of related labels of the first set of related labels comprise an artist identifier and each of a plurality of media items associated with an associate label comprise a video identifier.

23. A server computer system comprising:

a processing device;

a memory coupled to the processing device; and

a user feedback module, executable by the processing device from the memory, to;

receive from a user device a selection of a seed media item, the seed media item comprising a seed label;

generate a list comprising the seed label and a first set of related labels based on the seed label, the seed label and each related label comprising a separate label weight;

identify a plurality of media items associated with an associate label, wherein the associate label comprises at least one of the seed label or a related label of the first set of related labels;

transmit to the user device a first media item of the plurality of media items associated with an associate label; and

adjust the label weight of the associate label of the first media item based on a user feedback, wherein the user feedback is received from the user device for the first media item.

24. The server computer system of claim 23, the user feedback module, executable by the processing device from the memory, further to:

identify a second set of related labels based on the adjusted label weight of the associate label; and

updating the list to contain the second set of related labels.

25. The server computer system of claim 23, the user feedback module, executable by the processing device from the memory, further to:

identify an additional label when the adjusted label weight of the associate label exceeds a first threshold value, wherein the additional label relates to the associate label.

26. The server computer system of claim 23, the user feedback module, executable by the processing device from the memory, further to:

calculate a cumulative weight of the separate label weights of the list;

compare the cumulative weight of the separate label weights of the list to a second threshold value; and

replace one or more of the related labels of the first set of related labels of the list with a second set of related labels when the cumulative weight is under the second threshold value, the second set of related labels based on the seed label.

27. The server computer system of claim 23, the user feedback module, executable by the processing device from the memory, further to:

assign a media weight to each of the plurality of media items associated with the associate label.

28. The server computer system of claim 27, wherein the first media item is transmitted to the user device is based on the media weight of each of the plurality of media items.

29. The server computer system of claim 27, the user feedback module, executable by the processing device from the memory, further to:

calculate a full-rank weight for each of the plurality of media items associated with the associate label, the full-rank weight comprising a combination of the label weight of the associate label and the media weight of each of the plurality of media items.

30. The server computer system of claim 23, wherein the user feedback comprises an explicit user feedback, the explicit user feedback comprising at least one of a like action, a dislike action, a comment, removal action, or a sharing action.

31. The server computer system of claim 23, wherein the user feedback comprises an implicit user feedback, the implicit user feedback comprising at least one of a long watch action or a skip action.

32. The server computer system of claim 23, the user feedback module, executable by the processing device from the memory, further to:

adjust the label weight of the associated label based on a temporal relation to the user feedback.

33. The server computer system of claim 23, wherein the seed label and each of related labels of the first set of related labels comprise an artist identifier and each of a plurality of media items associated with an associate label comprise a video identifier.