Design And Implementation Of The Clothing Information Service System Based On Agent

With the rapid development of Internet technology, the computer terminals areeasily with a rich selection of information resources. More people access toinformation, but also make many users feel that ability is not equal to one’s ambition.When users search for information on the Internet, often will expectations becauseinformation is too Magnanimitylead to can’t get desired information, etc. In addition,with the accumulation of information resources, huge data was stored in a singleserver, whichhas also brought a lot of inconvenience for search and management.Therefore, this article studied the Content-based Filtering and CollaborativeFiltering recommendation technology, puted forward a distributed integratedrecommendation model, designed the model of Web mining based on Agent, useddistributed architecture, detailed designed the function of each Agent. According tothe implementation cycle of software engineering, Clothing information servicesystem was designed and developed.This article main research content is as follows:(1) Research and improvement of the personalized information push algorithmThrough researching based on Content-based Filtering recommendationtechnology and User-based Collaborative Filtering recommendation technology,distributed integrated recommendation model is proposed.(2) Build a Web mining model based on AgentCombined with the J2EE framework structure of Agent technology research,explored Agent technology framework and principle of implementation, constructed amodel of distributed Web mining based on Agent.(3) Design and implementation of clothing information service system based onAgentUsers on the system requirements was analysised, through analysised the systemfunction and business process to construct the user’s system structure and function modules, designed database, and developed for the main module of the system.At last part of the paper, all of researches and work in the paper are summarized,and many aspects of improvements are proposed. In the same time, the furtherresearch directions of the field of Agent technology in personalized recommendationsand distributed intelligent search areas are prospected.