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Optimizing web search using social annotations

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Optimizing web search using social annotations
This paper explores the use of social annotations to improve web search. Nowadays, many services, e.g. del.icio.us, have been developed for web users to organize and share their favorite web pages on line by using social annotations. We observe that the social annotations can benefit web search in two aspects: 1) the annotations are usually good summaries of corresponding web pages; 2) the count of annotations indicates the popularity of web pages. Two novel algorithms are proposed to incorporate the above information into page ranking: 1) SocialSimRank (SSR) calculates the similarity between social annotations and web queries; 2) SocialPageRank (SPR) captures the popularity of web pages. Preliminary experimental results show that SSR can find the latent semantic association between queries and annotations, while SPR successfully measures the quality (popularity) of a web page from the web users' perspective. We further evaluate the proposed methods empirically with 50 manually c...
Shenghua Bao, Gui-Rong Xue, Xiaoyuan Wu, Yong Yu,
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Shenghua Bao, Gui-Rong Xue, Xiaoyuan Wu, Yong Yu, Ben Fei, Zhong Su
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