发明名称 |
Recommendations for Social Network Based on Low-Rank Matrix Recovery |
摘要 |
Techniques describe analyzing users and groups of a social network to identify user interests and providing recommendations for a user based on the user's identified interests. A content-awareness application obtains a collection of images and tags associated with the images belonging to members in the social network. The content-awareness application decomposes the members into a representative matrix to identify users and groups in order to calculate a similarity matrix between the users and their images based on a visual content of the images and a textual content of the tags. The content-awareness application further constructs a graph Laplacian over the users and the groups to align with the representative matrix based at least in part on the similarity matrix and further provides recommendations of groups for a user to join in the social network based at least in part on the graph Laplacian identifying the user's interests. |
申请公布号 |
US2012297038(A1) |
申请公布日期 |
2012.11.22 |
申请号 |
US201113108843 |
申请日期 |
2011.05.16 |
申请人 |
MEI TAO;HUA XIAN-SHENG;LI SHIPENG;ZHUANG JINFENG;MICROSOFT CORPORATION |
发明人 |
MEI TAO;HUA XIAN-SHENG;LI SHIPENG;ZHUANG JINFENG |
分类号 |
G06F15/173;G06F17/30 |
主分类号 |
G06F15/173 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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