会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Cross media type recommendations for media items based on identified entities
    • 基于识别实体的媒体项目的跨媒体类型建议
    • US08484203B1
    • 2013-07-09
    • US13343172
    • 2012-01-04
    • Daniel J. ClancyCristos J. GoodrowYu HeKun Zhang
    • Daniel J. ClancyCristos J. GoodrowYu HeKun Zhang
    • G06F17/30
    • G06F17/3053G06F17/30029H04N21/252H04N21/4782
    • 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.
    • 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。
    • 4. 发明授权
    • Video recommendation based on video co-occurrence statistics
    • 基于视频同步统计的视频推荐
    • US08868481B2
    • 2014-10-21
    • US13325369
    • 2011-12-14
    • Li WeiKun ZhangYu HeXinmei Cai
    • Li WeiKun ZhangYu HeXinmei Cai
    • G06N5/00
    • H04N21/2668G06F17/30828G06N5/00G06N5/04H04N21/26258H04N21/44222H04N21/4826
    • A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.
    • 系统和方法在视频共享环境中为目标视频提供视频推荐。 该系统与目标视频一起选择一个或多个视频播放列表上的一个或多个视频。 目标视频的视频同现数据在一个或多个相同的视频播放列表上将目标视频和另一视频相关联,并且计算目标视频的频率和视频播放列表上的另一视频。 基于目标视频的视频同现数据,基于目标视频的视频同现数据来选择和排列一个或多个同现视频。 该系统从共同视频中选择一个或多个视频作为目标视频的视频推荐。