Design And Research Of Intelligent Search Engine Based Onakind Of Electronic Commerce Software

With the rapid development of Internet,particularly under the new businessmodel of electronic commerce，it can produce a lot of trading data and browsing datasof impling valuable informations on electronic commerce platform every day. Becausethese data are uncertained and unstructured. How to extracte the valuable informationfrom these data? For these reasons, the Web data mining technology was born. So far,the data mining technology is used by a large part of the large electronic commercesystem to different extent to provide personalized services to network users.This topic is mainly to establish a electronic mall system based on web datamining technology and users can obtain personalized service from the personalizedservice management module in the system.I mainly do the following work in the paper:(1) First,I summarizes the basic concept of Web data mining, classificationand methods, the concrete realization process of Web data mining and related theory.Then this paper introduces the basic concept, classification of search engine principle,working principle, key technology and framework. Through the theory research of theWeb services and mobile agent technology, I put forward to applying the idea of distributed Web services and intelligent mobile Agent.The electronic mall system isrealized based on Web data mining technology.(2) On the research of Web mining, the disadvantages of the Apriorialgorithm of association rules and the k-means algorithm of clustering are improved.The validity of the improved algorithm is tested by using test, and improves the queryefficiency.(3) Finally, the system realizes the user management module, commoditymanagement module, system management module and the partial function ofpersonalized service management module by using Java language and adoptingJavaServlet and JSP technology to construct the MVC design pattern under the strutsframework structure in Myeclipse operating conditions. The work of this paper focuson the personalized service management module.The module can provide users withpersonalized service. The function of the module is intelligent search and intelligentrecommendation.When users browse a commodity, intelligent recommendationmodule can automatically let commodities that is associated with the goods display onthe browse page.