发明申请
US20100010982A1 WEB CONTENT CHARACTERIZATION BASED ON SEMANTIC FOLKSONOMIES ASSOCIATED WITH USER GENERATED CONTENT
审中-公开
基于与用户生成内容相关的语义分析的WEB内容特征
- 专利标题: WEB CONTENT CHARACTERIZATION BASED ON SEMANTIC FOLKSONOMIES ASSOCIATED WITH USER GENERATED CONTENT
- 专利标题(中): 基于与用户生成内容相关的语义分析的WEB内容特征
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申请号: US12169761申请日: 2008-07-09
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公开(公告)号: US20100010982A1公开(公告)日: 2010-01-14
- 发明人: Andrei Z. Broder , Evgeniy Gabrilovich , Bo Pang , Vanja Josifovski
- 申请人: Andrei Z. Broder , Evgeniy Gabrilovich , Bo Pang , Vanja Josifovski
- 主分类号: G06F7/06
- IPC分类号: G06F7/06 ; G06F17/30
摘要:
The present invention is directed towards a method and system for characterizing web content based on capturing semantics of folksonomies relating to content entities of user generated content. The method and system includes determining a plurality of tags that describe a plurality of content entities and determining a co-occurrence of the tags. The method and system further includes generating weighted vectors based on the determined co-occurrence of tags and characterizing the content entity based on the weight vectors. Thereby, the characterization of the content entity may be used for any number of suitable purposes, including, by way of example, improving search results and associated advertising relevancy.
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