公开(公告)号：US08260117B1

公开(公告)日：2012-09-04

申请号：US13401098

申请日：2012-02-21

申请人： Zhichen Xu ,  Sami Abu-El-Haija ,  Lei Huang ,  Nimrod Hoofien

发明人： Zhichen Xu ,  Sami Abu-El-Haija ,  Lei Huang ,  Nimrod Hoofien

IPC分类号： H04N9/80

CPC分类号： H04N21/4668

摘要： Techniques are provided for selecting which videos to recommend to users by predicting the degree to which recommending each video will satisfy certain goals. To make the predictions, a trained machine learning engine is fed both collaborative filtering parameter values and content-based filtering parameter values. In the case of video-to-video recommendations, the collaborative filtering parameter values may be based on a video pair that includes a video in which a user has already demonstrated an interest. The machine learning engine generates a machine-learning score for each video. The machine learning scores are used as the basis for selecting which videos to recommend to a particular user.

摘要翻译： 提供技术来通过预测推荐每个视频满足某些目标的程度来选择要向用户推荐哪些视频。 为了做出预测，训练有素的机器学习引擎提供协同过滤参数值和基于内容的过滤参数值。 在视频到视频推荐的情况下，协作过滤参数值可以基于包括用户已经表现出兴趣的视频的视频对。 机器学习引擎为每个视频生成机器学习分数。 机器学习分数被用作选择哪些视频推荐给特定用户的基础。