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IJHIS
2006

A hybrid system for concept-based web usage mining

9 years 11 months ago
A hybrid system for concept-based web usage mining
A web site should be easy to browse by visitors. However, sometimes the reality is quite different. Situations like several unrelated topics in a single web page may lead to confusion and make harder to reach the information that the visitors are looking for. The design of the whole site (interface, content, structure, usability, etc.) is one of the most important aspects for any institution that wants to survive in the cyberspace. This work aims to extract new knowledge about how the visitors are using the web site and, in this way, to improve the site structure and content. We propose a hybrid system that combines the web usage mining (WUM) approach for analyzing the visitor browsing behavior and the conceptual classification of web pages for understanding the visitor text preferences in the site. The proposed system was tested in a real web site, which shows its effectiveness.
Sebastián A. Ríos, Juan D. Vel&aacut
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2006
Where IJHIS
Authors Sebastián A. Ríos, Juan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki
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