|Title||Clustering of Social Tagging System Users: A Topic and Time Based Approach|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||Koutsonikola, Vassiliki A., Athena Vakali, Eirini Giannakidou, and Yiannis Kompatsiaris|
|Editor||Vossen, Gottfried, Darrell D. E. Long, and Jeffrey Xu Yu|
|Keywords||Social tagging systems, time, topic, user clustering|
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.
Clustering of Social Tagging System Users: A Topic and Time Based Approach