Design of Personalized Information Search System Based on Multi-Agent
Zhai Yu-qing · 2009
In this paper,we design a personalized search system named PISMA(Personalized Information Search System Base on Multi-Agent),which consists of 5 agents and 2 other components.The system emphasizes information searching personally and timely and realizes information retrieval actively and intelligently.Firstly,we present a model of the system,in which we probe all the 5 agents and present a novel algorithm named RIOT(Return Immediately Out Time);secondly,we discuss 3 models which include User_Model,System_Study_Model and Personalize_Information_Model and Mobile_Agent_Communication_Model to implement personalized information searching;lastly,we share our conclusions and plan for future work.