WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques

Howard J. Hamilton, Xuewei Wang, and Y. Y. Yao, University of Regina, Canada

Creating an adaptive web site, which is a web site that automatically changes its contents and organization according to usage, is a challenge for web site designers. We introduce a novel algorithm for creating an adaptive web site based on combining web usage mining and adaptive web site generation. We outline the design of a system called WebAdaptor that implements our ideas. We elaborate on the usage mining module, adaptation module, and page generation module in the WebAdaptor system.

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