公开(公告)号：US08856111B1

公开(公告)日：2014-10-07

申请号：US13914069

申请日：2013-06-10

Applicant: Google Inc.

Inventor： Daniel J. Clancy ,  Cristos J. Goodrow ,  Yu He ,  Kun Zhang

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30029 ,  H04N21/252 ,  H04N21/4782

Abstract: Recommendations for a media item associated with a primary entity are based on co-interaction information gathered from other media content items of several different media types that are also associated with the primary entity. Co-interaction information can include, for example, co-click data for websites, co-watch data for videos, or co-purchase data for purchases. The co-interaction data is processed to determine a co-interaction score between primary media items and secondary media items. From the co-interaction scores, secondary entities associated with the secondary media items are determined. A relatedness score is determined for these secondary entities based on the aggregation of the co-interaction scores of the secondary media items they are associated with. The relatedness score indicates a determination of how related one entity is to another. The secondary entities are ranked according to relatedness score in order to determine secondary entities most relevant to the primary entity.

Abstract translation: 与主要实体相关联的媒体项目的建议基于从也与主要实体相关联的若干不同媒体类型的其他媒体内容项目收集的共同交互信息。 共同互动信息可以包括例如用于网站的共同点击数据，共同观看视频数据或共同购买用于购买的数据。 处理共同交互数据以确定主要媒体项目和次要媒体项目之间的共同交互评分。 从共同互动评分中确定与次要媒体项目相关联的辅助实体。 基于与它们相关联的二级媒体项目的共同交互得分的聚合，确定这些次级实体的相关性得分。 相关性分数表示确定一个实体与另一个实体的关联。 次要实体根据相关性得分进行排名，以确定与主要实体最相关的次级实体。