Researches Of Building An Adaptive Web Site Based On Web Data Mining

With the swift and violent development of Internet technology and e-commerce, Web is dramatically changing our lives unprecedented. Because more business transactions and servies are carried out through the Web, better services for the need of Web-based applications and understanding the action of customers become the focus of attention today. In order to solve the problems of relationship between customers and providers, adaptive Web sites become to the focus of Website design study at present. More and more sites begin to offer the personal service to the customer through the adaptive Web sites system.Designing a Web site is a complex problem. Traditional Web sites don't change their designs after being posted to the Web server. Even for those database driven Web sites whose Web pages are generated on the fly, which their designs are predefined. How to design an adaptive Web site has become to an key problem of Web designing.Logs of user accesses to a site provide an opportunity to observe users interacting with that site and make improvements to the site's structure and presentation. We propose adaptive sites: Web sites that improve themselves by learning from user access patterns, and improve the structure and presentation of the Website automatically, in order to reflect users' interest.This essay first dicussed the key steps of preprocessing in Web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. Especialy we proposed the algorithm of the Web log data preprocessing include frame page.And secondly we discussed the technology of building an adaptive Web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc.; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on. And finally we designed an adaptive Web site system model, which include Web data mining algorithm configuring module, Web log miningpreprocessing module, Web log mining module, Web site structure transformation and presentation module, system management module etc.., and designed and then realized the experimental prototype AWSS2004 based on this system model.