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Design And Implementation Of Campus E-Commerce Website Of Yantai University

Posted on:2015-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:P GaoFull Text:PDF
GTID:2308330473452755Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet technology, e-commerce system is deepening, the growing popularity of online shopping. However, a relatively stable individual purchase huge contradiction between the need for product information and e-commerce sites and provide increasingly prominent. In this era of rapid development of information technology and the Internet, and how to extract information from a large number of data and valuable information, to achieve a win-win for consumers and information generated by the information, which led to the emergence of personalized recommendation system. Personalized recommendations help users to quickly find the user needs to billions of dollars of goods in the commodity information.Based on the needs of Yantai University campus business environment, design and implement a personalized recommendation to support e-commerce system. The main contents of this paper include the following four parts:First, based on the actual situation of Yantai University campus business environment, e-business systems requirements analysis.Second, the client e-commerce site- Yantai University server model to design e-commerce systems to achieve the user to browse, search, buy goods, and delivery orders and other functions.Third, the system uses the JSP development using the foreground and background management website development, website using MS SQL Server as the database system to achieve Yantai University e-commerce systems.Finally, on the basis of Yantai University e-commerce system based on the realization of a hybrid weighted personalized recommendation system. Implement the recommendation system include: firstly analyzes the current situation of e-commerce research recommended; then e-commerce personalized recommendation system requirements modeling and user behavior data modeling; followed by design and implement an e-commerce system and the E-commerce based on the realization of personalized recommendation system.
Keywords/Search Tags:E-commerce, recommendation systems, hybrid recommendation
PDF Full Text Request
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