%0 Conference Paper %1 citeulike:1288940 %A Bao, Shenghua %A Xue, Guirong %A Wu, Xiaoyuan %A Yu, Yong %A Fei, Ben %A Su, Zhong %B WWW '07: Proceedings of the 16th international conference on World Wide Web %C New York, NY, USA %D 2007 %I ACM Press %K ranking search similarity social %P 501--510 %R 10.1145/1242572.1242640 %T Optimizing web search using social annotations %U http://dx.doi.org/10.1145/1242572.1242640 %@ 9781595936547

@inproceedings{citeulike:1288940, added-at = {2007-10-16T10:05:27.000+0200}, address = {New York, NY, USA}, author = {Bao, Shenghua and Xue, Guirong and Wu, Xiaoyuan and Yu, Yong and Fei, Ben and Su, Zhong}, biburl = {https://www.bibsonomy.org/bibtex/2b9966b9df0199a0b7b2d5a1b0d7560cb/fabianabel}, booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web}, citeulike-article-id = {1288940}, comment = {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...}, description = {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...}, doi = {10.1145/1242572.1242640}, interhash = {2cbdc7da88c90ef22468108c1f481159}, intrahash = {b9966b9df0199a0b7b2d5a1b0d7560cb}, isbn = {9781595936547}, keywords = {ranking search similarity social}, pages = {501--510}, priority = {2}, publisher = {ACM Press}, timestamp = {2007-10-16T11:34:04.000+0200}, title = {Optimizing web search using social annotations}, url = {http://dx.doi.org/10.1145/1242572.1242640}, year = 2007 }