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 |
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代理人 |
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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 |