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New Technology of Library and Information Service  2002, Vol. 18 Issue (4): 33-35    DOI: 10.11925/infotech.1003-3513.2002.04.13
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User Relevance Feedback for Information Retrieval System
Chen Dingquan
(The Documentation and Information Center of CAS, Beijing 100080,China)
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Based on vector space model and probability model, this paper elaborates how to adopt relevance feedback from user to improve information retrieval performance,it also discusses how does relevance feedback expand query and reweight terms .

Key wordsInformation retrieval      Relevance feedback      Query expansion      Terms reweighting     
Received: 14 March 2002      Published: 25 August 2002


Corresponding Authors: Chen Dingquan   
About author:: Chen Dingquan

Cite this article:

Chen Dingquan. User Relevance Feedback for Information Retrieval System. New Technology of Library and Information Service, 2002, 18(4): 33-35.

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