发明名称 RECOMMENDATION SYSTEM USING A TRANSFORMED SIMILARITY MATRIX
摘要 Systems and methods for transforming a similarity matrix used to generate content item recommendation lists are described. The system may determine a weight (used to transform the similarity matrix) sufficient to place one or more content items on the content item recommendation list or at a particular position on the recommendation list. The transformed similarity matrix may further be reduced in size, and content recommendations may be generated using the transformed or reduced similarity matrix.
申请公布号 US2016371274(A1) 申请公布日期 2016.12.22
申请号 US201514743374 申请日期 2015.06.18
申请人 Comcast Cable Communications, LLC 发明人 Ng Sheau;Jojic Oliver;Bagga Amit;Sayyadi-Harikandehei Hassan;Roy Sujoy;Yau Wei Yun;Wan Kong Wah
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method comprising: generating, by a computing device, a list of content items to recommend to a user based on a similarity matrix; responsive to a determination that a first content item was not in the list of content items to recommend to the user, applying a weight to the similarity matrix to generate a weighted similarity matrix; generating a second list of content items to recommend to the user based on the weighted similarity matrix; and determining whether the first content item was in the second list of content items to recommend to the user.
地址 Philadelphia PA US