Rough Set Based Social Networking Framework to Retrieve User-Centric Information
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
CiteRank: combination similarity and static ranking with research paper searching
International Journal of Internet Technology and Secured Transactions
A combination ranking model for research paper social bookmarking systems
AMT'11 Proceedings of the 7th international conference on Active media technology
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Web-base tagging systems, which include social bookmarking systems such as del.icio.us, have become increasingly popular. These systems allow participants to annotate or tag web resources. This paper examined the use of social annotations to improve the quality of web search. It involved two components. First, social annotations were used to index resources. Two annotation-based indexing methods were proposed. Second, social annotations were used to improve search result ranking. Four annotation-based ranking methods were proposed. The result showed that using only annotation as an index of resources may not be appropriate. Since social annotations could be viewed as a high level concept of the content, combining them to the content of resource could add some more important concepts to the resources. The result also suggested that both static feature and similarity feature should be considered when using social annotations to re-rank search result.