Incorporating Social-Network Connections Information into Estimated User-Ratings of Videos for Video Recommendations

摘要

Techniques for incorporating social-network connections information into estimated user-ratings of videos for video recommendations are described. A user-rating that a user is likely to assign to a video is predicted based on first and second predictions. The first prediction is based on ratings assigned to the video by a first set of users who have rated other videos with ratings substantially similar to the user's ratings of the other videos. The second prediction is based on ratings assigned to the video by a second set of users who have established social-network connections with the user and who have rated at least one same video that the user has previously rated. Additionally, the estimated user-rating is added to additional estimated user-ratings of other videos for comparison, and top-rated videos are identified. Then, a notification is communicated via a client device of the user to recommend the top-rated videos to the user.

主权项

1. A computer-implemented method for incorporating social-network connections information into estimated user-ratings of videos for video recommendations, the method comprising:
estimating, by a prediction module, a user-rating of a video that a user is likely to assign to the video, the estimated user-rating being predicted based on a combination of a first prediction and a second prediction, the first prediction based on ratings data that includes ratings assigned to the video by a first set of users who have rated one or more additional videos with ratings that are substantially similar to additional ratings assigned to the one or more additional videos by the user, the second prediction being based on social data that includes ratings assigned to the video by a second set of users who have established social-network connections with the user and who have rated at least one same video that the user has previously rated; adding, by a recommendation module, the estimated user-rating of the video to additional estimated user-ratings of other videos that the user is likely to assign to the other videos; identifying, by the recommendation module, one or more top-rated videos based on the estimated user-rating and the additional estimated user-ratings; and communicating, by the recommendation module, a notification via a client device of the user to recommend the one or more top-rated videos to the user.