Research Of The User Personalized Service Based On Web

With the rapid expansion of the Web information resources, when the Web users visits the site, they have no idea how to start it or it is often made hard to find their need accurate information. Web user personalized service can provide different information and services for different Web users, it not only allow users to access Web sites quickly, but also more quickly access to their required information.The user personalized service based on Web , which can predict the future requested page, understand the user's interest, analyze the user's access patterns, and active to provide the related information based on the user's individual needs, must collect and make an analysis of users'basic information, browsing information and other knowledge. The research of the user personalized service which increase the access to Web site information and the frequency of page views, be optimized the site structure and other areas have significant results. For the lack of the current user interest model, this article has a comprehensive study of the user's basic information, the page content that user browsed web page, and the browsed behavior of the user, to create a personalized user interest model, and could provide better service for users.Firstly, by understanding the basics knowledge of the Web data mining, personalization services, user interest modeling, Etc, the article collect the basic information of the registered users, enhance the concept of the properties of the basic information through the concept hierarchy technology. That can get highly summarized database table, which can convert the characteristics of the user requirements. The research has solved the ignored problem of the basic information of the user, and provided a basis for the user personalized service.Secondly, it has defined the interest degree of the browsing information of the non-registered user, through the detailed analysis and research of the impact of personalized service with the Web users browsing information. The interest degree is used to measure the user's interests, and mine the user's interests from the page content that user browsed web page and the browsed behavior of the user.Finally, with the background of the online bookstore, it designed and accomplished the personalized service system that based on the user interest model. The system can make an analysis of the user information of the online bookstore, and has provided users with the perfect personalized service. The experimental results demonstrated the effectiveness of the method.