Web User Profiling Using Fuzzy Clustering

Authors:
Giovanna Castellano;Fabrizio Mesto;Michele Minunno;Maria Alessandra Torsello
Affiliations:
CILab - Computational Intelligence Laboratory, Computer Science Department, University of Bari, Via E. Orabona, 4 - 70126 Bari, Italy, ~cilab/,;Tel.net - Telecomunicazioni e Networking, Via Fanelli 226/13 - 70124 Bari, Italy;Tel.net - Telecomunicazioni e Networking, Via Fanelli 226/13 - 70124 Bari, Italy;CILab - Computational Intelligence Laboratory, Computer Science Department, University of Bari, Via E. Orabona, 4 - 70126 Bari, Italy, ~cilab/,
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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Abstract

Web personalization is the process of customizing a Web site to the preferences of users, according to the knowledge gained from usage data in the form of user profiles. In this work, we experimentally evaluate a fuzzy clustering approach for the discovery of usage profiles that can be effective in Web personalization. The approach derives profiles in the form of clusters extracted from preprocessed Web usage data. The use of a fuzzy clustering algorithm enable the generation of overlapping clusters that can capture the uncertainty among Web users navigation behavior based on their interest. Preliminary experimental results are presented to show the clusters generated by mining the access log data of a Web site.