The Design And Implementation Of Shopping Search Engine With Intelligent Recommendation Based On Behavior Analysis

With the development of technology and people's conception converting, internet shopping has been adopted by more and more people. However, the development of Internet shopping has been greatly influenced because of the information obstacles between Internet sellers and customer. In view of product information which is also needed by merchants and customers to eliminate the obstacles, this paper is devoted to develop a search system based on intelligent recommended shopping. As the development of mobile terminal and wireless networks, there is a closely and inseparable relationship between mobile phone and Internet. And by cell phone client shopping search engines, the real-time search could be rised and the shopping cost reduced. Therefore, based on intelligent recommend shopping search system, the mobile shopping search system is included into this research, to meet the needs of users.The key technologies are applied for this system including the application of Lucene, mobile client development, smart recommendations based on behavior analysis, the J2EE platform based on MVC architecture and design and application of database. So in the paper the parts are developed by the author such as system design, search based on Lucene, creation of Lucene index, design and development of database, J2EE platform to build, design and implementation of the JSP page and logs and behavior analysis of the users. The whole system can be divided into three parts, search engine server, behavior analysis system, Lucene search system. Search engine server can be accessed through mobile client and browser two ways, six functions are realized by the system including basic search, drop-down box hint, product reviews search, product reviews published, product information search, similar product search. Lucene search system including search based on Lucene and creation of Lucene index, the users' concerns are analysed by behavior analysis system through the users'behavior logs. What is more, the design of the system and the operation of sections finished by writer are discussed in detail and the visiting by browser is displayed.The author has participated in the process of design and development of the whole system, but the system is still in the development. And because of some demand changing and the needs of mobile client development, the system also is in constant revision and improvement. At last, some completed sections are operated stably. And the expected effect is consistent.