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《Information Technology》 2006-09
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Personal informational recommendation based on multi-agent hybrid intelligence

XU Jia-li,FU Ping(Department of Electronics and Information Engineering,Chengdu University,Chengdu 610106,China)  
In personal information service field,there are two classical methods: content-based and collaborative-based information filtering method.After analyzing the shortcomings of each method,this paper presents the algorithm of constructing user models with cluster analysis based on parallel ant colony adaptive algorithm,and the algorithm of user models active study combining the advantages of the two methods.Lastly,it provides the model of personal informational recommendation,as well as the corresponding algorithm.
【CateGory Index】: TP311.5
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