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Optimizing web search using social annotations

In WWW '07: Proceedings of the 16th international conference on World Wide Web (2007), pp. 501-510.

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This article has been bookmarked 46 times, initially on 2007-05-10.

2009-11-04 User lzhlynn
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2009-04-21 Group NETS-UAM
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2008-01-13 Group Social Web
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2007-08-02 User fabianabel , 1 note

In this paper the authors introduce SocialSimRank, which determines the similarity between tags (or/and query terms) according to co-occurences of tag assignments, and SocialPageRank, which determines the popularity of websites according to the popularity of users and tags (the popularity of web sites, users and tags influence each other..). Those algorithms are based on two assumptions/observations: 1. web page annotators provide very good summarizations of web pages 2. number of annotations corresponds to the popularity of web pages. In this paper the authors also present some experiments based on a del.icio.us data set. They compare SocialPageRank with PageRank and show that SocialPageRank improves search...

2007-08-02 09:24:50
2007-06-14 User sharon_hsiao
2007-06-01 User xiaoyan2006
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2007-05-11 User brusilovsky
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2007-05-10 User ChaTo , 1 note

Models for tag-based search including both aspects: similarity ranking (relevance) and static ranking (quality).

Use delicious and ODP data.


2007-05-10 23:41:12
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