Study On Adaptive Web Site

In order to solve the problems of network information flooding and lack of individual network services and promote the high development of network services, it becomes acurrent hot issue that whether a web site could automatically adapt different user's requirements or not.Web mining is the sub field of data mining. Features of the variety and dynamitic of data source breaks through the restriction of traditional data mining, and with the development of web, web mining gets more and more attention and application. Adaptive web site is one of the application branches of web mining. An adaptive web site can automatically adjust its structure and representation so to meet different users visit requirements through using web data mining technique to find the useful information of users. Thus research on adaptive web site can resolve the requirement and need contradiction between visitors and web service.Based on the general model of Adaptive web site, a model frame of Adaptive web site using Xml is presented. To achieve the individuation service of Adaptive web site, this model uses xml to simplify the pretreatment of data, and introduces the algorithm of into the process of Demand-Favoritism Path Mining Algorithm Web mining. Xml is applied to get individuation when web site redressal. Focusing on the analysis and comparison of the modules, this thesis presents in detail the designing and implementing process of Adaptive web site.