An Intelligent Web Recommendation System: A Web Usage Mining Approach

Authors:
Hiroshi Ishikawa;Toshiyuki Nakajima;Tokuyo Mizuhara;Shohei Yokoyama;Junya Nakayama;Manabu Ohta;Kaoru Katayama
Affiliations:
-;-;-;-;-;-;-
Venue:
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Year:
2002

Citing 4
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Abstract

As an increasing number of Web sites consist of an increasing number of pages, it is more difficult for the users to rapidly reach their own target pages. So the intelligent systems supporting the users in navigation of the Web contents are in high demand. In this paper, we describe an intelligent recommendation system called the system L-R, which constructs user models by mining the Web access logs and recommends the relevant pages to the users based both on the user models and the Web contents. We have evaluated the prototype system and have obtained the positive effects.