%0 Conference Paper %B WISE %D 2009 %T Clustering of Social Tagging System Users: A Topic and Time Based Approach %A Vassiliki A. Koutsonikola %A Athena Vakali %A Giannakidou, Eirini %A Yiannis Kompatsiaris %E Vossen, Gottfried %E Long, Darrell D. E. %E Yu, Jeffrey Xu %K Social tagging systems %K time %K topic %K user clustering %X

Under Social Tagging Systems, a typical Web 2.0 application,users label digital data sources by using freely chosen textual descriptions(tags). Mining tag information reveals the topic-domain ofusers interests and significantly contributes in a profile construction process.In this paper we propose a clustering framework which groups usersaccording to their preferred topics and the time locality of their taggingactivity. Experimental results demonstrate the efficiency of the proposedapproach which results in more enriched time-aware users profiles.

%B WISE %S Lecture Notes in Computer Science %I Springer %V 5802 %P 75-86 %@ 978-3-642-04408-3 %G eng