VIDEO CONTENT RECOMMENDATIONS

• US 20110320380A1
• Filed: 06/23/2010
• Published: 12/29/2011
• Est. Priority Date: 06/23/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Zahn, Jessica E., Fejta, Erick L.
• Application Number:
  US12/822,068
• Publication Number:
  US 20110320380A1
• Time in Patent Office: Days
• US Class Current: 705/347
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score

Abstract

Video content recommendations are described. In embodiments, a request for a recommendation of video content is received from a client device, and the recommendation includes identifiers of video assets for an optimal viewing schedule for a user. A utility of each video asset can be determined that indicates a social value of a video asset to the user. A time relevance of each video asset can also be determined that indicates how soon the user may select to watch the video asset, based at least in part on the social value of the video asset. The optimal viewing schedule can then be generated based on the utility of each video asset and the time relevance that is associated with each video asset. The optimal viewing schedule includes recommended video assets that, when watched by the user, provide the most social value in the shortest amount of viewing time.

Claims

1. A computer-implemented method, comprising:

receiving a request for a recommendation of video content from a client device, the recommendation including identifiers of video assets for an optimal viewing schedule for a user;

determining a utility of each video asset that indicates, at least in part, a social value of a video asset to the user;

determining a time relevance of each video asset that is an indication of how soon the user may select to watch the video asset, based at least in part on the social value of the video asset; and

generating the optimal viewing schedule based on the utility of each video asset and the time relevance that is associated with each video asset, the optimal viewing schedule including the identifiers of one or more recommended video assets that, when watched by the user, provide the most social value in the shortest amount of viewing time.

2. A computer-implemented method as recited in claim 1, further comprising assessing a diversity of each video asset to determine the utility of the video asset, wherein the social value of the video asset to the user also indicates a uniqueness of the video asset.

3. A computer-implemented method as recited in claim 1, further comprising applying a discount function to the social value of an additional video asset that includes similar subject matter of the video asset.

4. A computer-implemented method as recited in claim 1, wherein a recommended video asset includes similar subject matter as one or more other video assets, and is recommended as a representative video asset to provide the most social value in the shortest amount of viewing time.

5. A computer-implemented method as recited in claim 1, wherein said determining the utility of the video asset is based, at least in part, on a personal value of the video asset to the user, the personal value based on at least one of a video asset selection history, or user preferences.

6. A computer-implemented method as recited in claim 1, wherein said determining the utility of the video asset is based, at least in part, on predictions of the video assets that social network contacts of the user will select for viewing, and wherein the social value to the user is the recommendation to watch one or more of the same video assets that the social network contacts select for viewing.

7. A computer-implemented method as recited in claim 1, wherein said determining the utility of the video asset is based on the video assets that the user has previously watched, the video assets that social network contacts of the user have previously watched, and predictions of the video assets that the social network contacts of the user will likely select to watch.

8. A computer-implemented method as recited in claim 1, further comprising:

communicating the optimal viewing schedule to the client device for user selection of a recommended video asset; and

receiving the user selection of the recommended video asset from the client device, the user selection initiating a redetermination of the utility of each video asset to update the optimal viewing schedule for the user.

9. A computer-implemented method as recited in claim 1, wherein the one or more recommended video assets include at least one of a television program, a movie, a viral video, or a music video.

10. A system, comprising:

a media content service configured to receive a request for a recommendation of video content from a client device, the recommendation including identifiers of video assets for an optimal viewing schedule for a user;

at least a memory and a processor to implement a video content service configured to;

determine a utility of each video asset that indicates, at least in part, a social value of a video asset to the user;

determine a time relevance of each video asset that is an indication of how soon the user may select to watch the video asset, based at least in part on the social value of the video asset; and

generate the optimal viewing schedule based on the utility of each video asset and the time relevance that is associated with each video asset, the optimal viewing schedule including the identifiers of one or more recommended video assets that, when watched by the user, provide the most social value in the shortest amount of viewing time.

11. A system as recited in claim 10, wherein the video content service is further configured to assess a diversity of each video asset to determine the utility of the video asset, wherein the social value of the video asset to the user also indicates a uniqueness of the video asset.

12. A system as recited in claim 10, wherein the video content service is further configured to apply a discount function to the social value of an additional video asset that includes similar subject matter of the video asset.

13. A system as recited in claim 10, wherein a recommended video asset includes similar subject matter as one or more other video assets, and is recommended as a representative video asset to provide the most social value in the shortest amount of viewing time.

14. A system as recited in claim 10, wherein the utility of the video asset is determined based, at least in part, on a personal value of the video asset to the user, the personal value based on at least one of a video asset selection history, or user preferences.

15. A system as recited in claim 10, wherein the utility of the video asset is determined based, at least in part, on predictions of the video assets that social network contacts of the user will select for viewing, and wherein the social value to the user is the recommendation to watch one or more of the same video assets that the social network contacts select for viewing.

16. A system as recited in claim 10, wherein the utility of the video asset is determined based on the video assets that the user has previously watched, the video assets that social network contacts of the user have previously watched, and predictions of the video assets that the social network contacts of the user will likely select to watch.

17. A system as recited in claim 10, wherein the media content service is further configured to:

communicate the optimal viewing schedule to the client device for user selection of a recommended video asset;

receive the user selection of the recommended video asset from the client device; and

wherein

the video content service is further configured to re-determine the utility of each video asset to update the optimal viewing schedule for the user.

18. A system as recited in claim 10, wherein the one or more recommended video assets include at least one of a television program, a movie, a viral video, or a music video.

19. Computer-readable storage media devices comprising instructions that are executable and, responsive to executing the instructions, a computer device:

receives a request for a recommendation of video content from a client device, the recommendation including identifiers of video assets for an optimal viewing schedule for a user;

determines a utility of each video asset that indicates, at least in part, a social value of a video asset to the user, the utility of the video asset being based on the video assets that the user has previously watched, the video assets that social network contacts of the user have previously watched, and predictions of the video assets that the social network contacts of the user will likely select to watch;

determines a time relevance of each video asset that is an indication of how soon the user may select to watch the video asset, based at least in part on the social value of the video asset; and

generates the optimal viewing schedule based on the utility of each video asset and the time relevance that is associated with each video asset, the optimal viewing schedule including the identifiers of one or more recommended video assets that, when watched by the user, provide the most social value in the shortest amount of viewing time.

20. Computer-readable storage media devices as recited in claim 19, further comprising additional instructions that are executable and, responsive to executing the additional instructions, the computer device:

assesses a diversity of each video asset to determine the utility of the video asset, wherein the social value of the video asset to the user also indicates a uniqueness of the video asset; and

applies a discount function to the social value of an additional video asset that includes similar subject matter of the video asset.