Based On The Recommendation Subsystem Design And Implementation Of The Electronic Mall

With the development of computer technology and the popularity of the Internet,e-commerce from the temporal and spatial control, quick and easy, low cost ofe-commerce on a global scale seen tremendous growth. Electronic shopping mallsystem is a very important application of e-commerce plays a dominant role in thedevelopment of electronic commerce in the future, a growing number of Internet userschoose the way of online shopping, e-Commerce have reached an unprecedenteddevelopment prospects. However, the development of the electronic shopping mallsystem is facing such a problem, with the expanded scale of electronic mall, theincreasing amount of data,"data flooding and lack of knowledge" situation, the usersoften get lost in a lot of product information, It is difficult to find the goods they want.To solve this problem, the thesis designs and implements the recommendedsubsystem-based electronic mall, by embedding the recommended subsystem allowsusers to easily find the goods they want, the electronic mall to reach a certain intelligent.This thesis first introduces the research background and research status of theelectronic mall. And then introduce the electronic shopping mall system andpersonalized recommendation system theory and related technologies, for example,application architecture, MVC design pattern, recommended system composition, therecommendation algorithm. Finally, this thesis designs and based on B2C e-Commerceshopping system, developed based on the MVC design pattern Struts framework, theuse of Microsoft SQL Server2005database server, and JSP technology. In strictaccordance with the software development specification design and implementation ofthe electronic mall, followed by the electronic shopping mall system requirementsanalysis, preliminary design, detailed design and coding. E-mall shopping system, frontdesk customer side and backstage management side, the front desk client’s mainfunction product information query and browsing module, user registration and login,shopping vehicle modules such as backstage management side of the main function ofcommodity information management module, membership information managementmodule, order management module.Electronic mall merchandise recommendation module, the system automaticallyobtain the user a variety of information, such as registration information, hobbies, historical purchasing information and browsing behavior, and through the recommendedsubsystem embedded in the commodity personalized recommendation services. Practicehas proved that the whole system is running well, not only to achieve the basicfunctions of the electronic shopping mall system, and recommend subsystem embeddedelectronic mall to the intelligent, the recommended subsystem can act as the role of thesales staff, you can use the recommended subsystem promotion or cross-selling.