RESEARCH ON THE MODEL OF PERSONALIZED RECOMMENDATION SYSTEM BASED ON MULTIAGENT
To overcome the disadvantages of the existing recommender system such as intelligence, adaptive and flexibility ability etc., the framework model of personalized recommender systems in e-commerce (MAPRS) is designed based on multi agent and web usage mining technology. The function module of MAPRS is constructed to be an autonomy intelligent agent by means of agent technology in this architecture. The work flow of recommender system and function of module are discussed in this paper.
personalization recommendation system agent multi agent
Suozhu Wang Xiaoyu Ma Minghui Sun Chunjie Xu
College of Information Engineering,Capital Normal University,Beijing 100037,China, Department of Instrument and Control,China Nuclear Power Engineering Co.Ltd,Beijing 100840,China,
国际会议
2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)
北京
英文
2008-10-18(万方平台首次上网日期,不代表论文的发表时间)