A new fuzzy information retrieval system based on user preference model

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The goal of information retrieval system is to search the documents which user wants to obtain in a fast and efficient way. Many information retrieval models, including Boolean models, vector models, and fuzzy models based on the traditional fuzzy set theory, have been proposed to achieve these kinds of objectives. The previous models, however, have a limitation on the fact that they do not consider the user's preference in the document search process. In this paper, we proposed a new extended fuzzy information retrieval system which can handle the shortcomings of the previous ones. In the proposed model, a new similarity measure was applied in order to calculate the relevance degree among documents which can exploit the user's preference
Description
바이오및뇌공학과
Publisher
IEEE
Issue Date
2001-12-02
Language
English
Keywords

Information retrieval; fuzzy set; similarity measure

Citation

IEEE International Conference on Fuzzy Systems, v.1, pp.127-130

ISBN
0-7803-7293-X
DOI
10.1109/FUZZ.2001.1007263
URI
http://hdl.handle.net/10203/16972
Appears in Collection
BiS-Conference Papers(학술회의논문)
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