| 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 |
| Book Title | WISE |
| Publisher | Springer |
| ISBN Number | 978-3-642-04408-3 |
| Keywords | Social tagging systems, time, topic, user clustering |
| Abstract | 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. |
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