Improving Web Site Content Using a Concept-Based Knowledge Discovery Process

Authors:
Sebastian A. Rios;Juan D. Velasquez;Eduardo S. Vera;Hiroshi Yasuda;Terumasa Aoki
Affiliations:
University of Tokyo, Japan;University of Chile, Chile;University of Tokyo, Japan/ University of Chile, Chile;University of Tokyo, Japan;University of Tokyo, Japan
Venue:
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2006

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Abstract

Nowadays many organizations and enterprises have a web site to help accomplish several business goals from sales to customer support. A very important activity for today's managers is how to improve the experience of visitors in their web site and make it more effective. Several techniques that use knowledge from visitors' browsing behavior have shown good results to perform such task. However, how to introduce semantics into web usage mining techniques is still a challenge. This work presents a way to obtain a semantic classification of visitors' sessions using a conceptual mining process. We performed experiments in a real web site.