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New Technology of Library and Information Service  2005, Vol. 21 Issue (4): 45-47    DOI: 10.11925/infotech.1003-3513.2005.04.12
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A Ontology－based Personalized Retrieval Method
Qin Chunxiu   Zhao Pengwei   Dou Yongxiang
 (School of Economics Management, Xidian University，Xi'  an 710071，China)
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Abstract  

Current search tools are designed for all users, no considering of the special needs of individual user. A way of personalized retrieval based on ontology is proposed in this paper，in which individual user search intention can be deduced by the user interest model which is constructed by learning user search history automatically. This way can be used in intelligent information retrieval such as Internet on special domains or special user groups and Intranet.
Key words： Ontology      User search history      User interest model      Personalized retrieval     
Received: 25 November 2004      Published: 25 April 2005
ZTFLH: 

G354.2

 		 
Corresponding Authors: Qin Chunxiu     E-mail: qinchx@126.com
About author:: Qin Chunxiu,Zhao Pengwei,Dou Yongxiang
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Cite this article:

Qin Chunxiu,Zhao Pengwei,Dou Yongxiang. A Ontology－based Personalized Retrieval Method. New Technology of Library and Information Service, 2005, 21(4): 45-47.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2005.04.12     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2005/V21/I4/45

1A.E. Howe and D. Dreilinger.SavvySearch: A Meta-Search Engine that Learns with Search Engines to Query.AI Maganize，1997，18(2):19-25
2A.L. Powell, J.C. French, J.P. Callan, M.E. Connell, and C.L. Viles. The Impact of Database Selection on Distributed Searching.proc.23rd Ann. int'l ACM SIGIR Conf. Research and Development in Information Retrival， 2000: 232-239
3C.T.Yu, W.Meng, W. Wu,and K.-L.Liu. Efficient and Effective Metasearch for Text Database Incorporating Linkages among Documents. ACM SIGMOD，2001:187-198
4石晶，龚震宇，裘杭萍等.基于用户兴趣模型的智能信息检索系统技术与实现.情报学报，2003(3)：282－286
5D.H. Widyantoro, T.R. Ioerger,and J.Yen.An Adaptive Algorithm for Learning Changes in User Interest s.Proc. Eighth ACM Int’l Conf. Information and Knowledge Management(CIKM)， 1999:254-261
6U.Cetintemel, M.J.Franklin,and C.L.Giles. Self-Adaptive User Profiles for Large-Scale Data Delivery.Proc.16th Int'l Conf.Data Eng.(ICDE)，2000:622-633
7T.Joachims,D.Freitage,and T.Mitchell. Webwatcher: A Tour Guide for the World Wide Wed.Proc,15th Int'l Joint Conf. Artificial Intelligence(IJCAI)，1997:770-777
8Fang Liu, Clement Yu, Senior Member. Personalized web search for improving retrieval effectiveness. IEEE transactions on Knowledge and Data engineering IEEE， 2004(1):28-40
9徐振宁，张维民，陈文伟.基于Ontology的智能信息检索，计算机科学，2001(6):21-26，44
10http://www.wisenut.com（Accessed Aug.8,2004)
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