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http://dx.doi.org/10.5391/JKIIS.2006.16.3.326

A Study on Fuzzy Ranking Model based on User Preference  

Kim Dae-Won (School of Computer Science and Engineering, Chung-Ang University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.3, 2006 , pp. 326-331 More about this Journal
Abstract
A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. In this study we develop a new fuzzy ranking model based on the user preference. Through the experiments on the TREC-2 collection of Wall Street Journal documents, we show that the proposed method outperforms the conventional fuzzy ranking models.
Keywords
Fuzzy similarity measure; relevance ranking; information retrieval;
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