Adaptive Web site construction using ART

The design of a complex web site is a very difficult problem in World Wide Web. Each user has different goal and sites are usually changing while site grows and evolves. Web servers record data about user interactions as web log data. This web log has all hits of user access In order to improve system performance and to reduce visitor's navigation effort, the adaptive web site was suggested. The adaptive web site is a web sites that automatically improve their organization and presentation by self-learning. To get information for site modification, we use web log. We cluster the pages in the web site using ART(Adaptive Resonance Theory) and provide grouped pages to improve system performance. ART model cluster web log pattern well and the result of clustering information is good to system topology modification. Submission area: Web mining, Neural Network, Pattern Analysis.