Research on Distributed Personalized Retrieval System Model Based on Multi-agent
Huang Jin-ming · Information Sciences · 2010
This paper describes the architecture of a personalized retrieval system(MADSS).The Distributed multi-agent technique,information filtering technique and personalized pagerank technique based on personalized models are utilized,which makes the system more efficient.Compared with the systems mentioned in the references,this system has the features of adjusting to shifting user' s interests and changing source adaptively,as well as in intelligently searching good results.The results show that this system generally can be used in the electronic business and information retrieval in Internet and have high significance in theories and applications.