Intelligent personalized information retrieval system based on multi-Agent

摘要：

According to the current status of information search,a new personalized information search model is reported and the design and implementation of a system based on intelligent multi-agent is presented.A personalized information model must specialize to current interests of the user and adapt as they change over time.Machine learning techniques are used to increase the agents’capabilities of learning from the experience of previously satisfied queries.This paper builds a user personalized model to aid the accuracy of information distilling in order to enhance the personalized and intelligent degree of the system.

关键词： information retrieval multi-agent user personalized model Agent learning.

作者: Yan Li Fu-wen Guo Xiu-feng Wang

作者单位: College of Computer and Communication Engineering,Weifang University,Weifang,China Library of Weifang University,Weifang University,Weifang,China College of Information Technology,Nankai University,Taijing,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）