Research On The Individualized Service System Based On Web2.0 In The Electronic Commerce Application

With the development of e-commerce, personalized products, personalized service gradually become one of the development trend of electronic commerce. In-depth study of technology applications in personalized e-commerce related to user modeling. On this basis, in-depth study of user behavior information collection and access behavior. Final design a prototype of e-commerce literature personalized recommendation system.In this paper, the institute of personalized service e-commerce to do the main work has three parts:First, detailed description of the relevant technology topics;Second, the use of data mining knowledge discovery technology to design coarse-grained level of personalized service user modeling, namely the association patterns. Analysis of two levels of general users and members, Establishment of an information space in the Member level, Model index were established for different groups. This algorithm effectively alleviate the large amount of data mining problems, while achieving coarse-grained level of personalized service.Finally, Recommended course of study in the literature should follow the principle, Established XML-based user information repository, Completed the collection of user information and user access line. Then the personalized recommendation system prototype e-commerce literature has been studied and realized.This study used a customized J2EE+XML to complete e-business applications---Personalized recommendation service system documentation prototyping:(1) Create areas of resource description and resource database:In the domain modeling, detailed description of the structure of the personalized service system using XML technology information resources and create customized XML-based information resource database.(2) Collection of user information:In the field of modeling and structured description of information resources on the basis, establishing user interest model, from various angles, aspects of structural levels.(3) Personalized service model design based on user interest in e-commerce recommendation:Recommended to take a variety of rules, according to the different user interest model description, then create personalized service system, efficiently and accurately provide the necessary resources to the user.This study only designed a prototype system of personalized service, the next study focused on the reconstruction of business systems design and implementation.