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Searching and Clustering on Social Tagging Sites
2009
2009 Fifth International Conference on Semantics, Knowledge and Grid
Social Tagging Site has increasingly become a main avenue for people to share resources online. Users can use simple tools to publish everything from bookmarks to video clips on those sites. However, effective querying of resources in such sites is still a challenging question in industry and academic research. This paper reports a novel algorithm of presenting the web resources query result on the social tagging sites. It adopts a two step clustering approach to organize and rank resources
doi:10.1109/skg.2009.72
dblp:conf/skg/Zhou09
fatcat:uol67x2u5jhmpo4qsqbsbqnejy