A Model of Personalized Information Retrieval System Based on Agent
Internet information retrieval has played a vital role in people 8 daily study and lives. How to assist users in discovering the knowledge rapidly and accurately from the mass internet information resources have already been hotly researched. Based on the analysis of the insufficiency of search engine technology and the deficiency of personal information service technology, we use the latest achievement of artificial intelligence agent to propose a model of personalized information retrieval system based on agent. The model consists of three parts:Personalized User Agent, Information Search Agent and Information Filtering Agent. The Personalized User Agent is the key topic in this paper. The User Agent could be formed and trained through the expression of information requirement and information feedback of users. Moreover, BP (Back Propagation) algorithm based Personalizing User Agent is proposed.
Agent information retrieval personal information service back propagation
Quan Liu Jie Zhang
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
国际会议
第二届数字制造国际会议(2nd Sumposium on Digital Manufacturing ISDM09)
武汉
英文
240-243
2009-09-10（万方平台首次上网日期，不代表论文的发表时间）