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Algorithm Design for Multi-agent Based Intelligent Recommendation System |
Tao Jianwen |
(Computer Application Research Institute of Zhejiang Business Technology Institute, Ningbo 315012, China) |
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Abstract This paper puts forward a kind of novel distributed intelligent recommendation system based on mobile agent and Web services and constructs the architecture of the system. Meanwhile the paper narrates the workflow of the system. Finally the paper particularly explains the implementing algorithms of main functions of the system including the global implementing algorithm, clustering algorithm and suggestion algorithm.
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Received: 05 September 2006
Published: 25 December 2006
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Corresponding Authors:
Tao Jianwen
E-mail: tjw@jbti.net.cn
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About author:: Tao Jianwen |
1Mobasher B, Cooley B, Srivastava J. Automatic Personalization Based on Web Usage Mining. Communications of the ACM, 2000,43(8):142-151
2Perkowitz M., & Etzioni O. (1999). Adaptive Web Sites: Conceptual Cluster Mining. Proceedings of the International Joint Conference on Artificial Intelligence, 1999264-269
3Silvestri F., Baraglia R., Palmerini P., & Serranò M. (2004). On-line Generation of Suggestions for Web Users. Proceedings of the IEEE International Conference on Information Technology: Coding and Computing (ITCC 2004)
4张云勇,刘锦德. 移动Agent技术.北京:清华大学出版社. 2003
5Peter Dolog. Personalization in Distributed e-Learning Environments. Communications of ACM, 2004 (11): 170-178
6胡迎松,韩苹,陈中新. 一个基于Agent的个性化推荐系统. 计算机应用与研究, 2006(4): 78-80 |
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