DocumentCode :
1673645
Title :
A new fuzzy information retrieval system based on user preference model
Author :
Kim, Dae-Won ; Lee, Kwang H.
Author_Institution :
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
127
Lastpage :
130
Abstract :
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
Keywords :
Boolean functions; fuzzy set theory; information retrieval systems; user centred design; Boolean models; document search; fuzzy information retrieval system; fuzzy set theory; similarity measure; user preference model; vector models; Boolean algebra; Computer science; Frequency; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information retrieval; Set theory; Weight measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
Type :
conf
DOI :
10.1109/FUZZ.2001.1007263
Filename :
1007263
Link To Document :
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