Nefti-Meziani, S, Oussalah, M and Khan, S 2008, 'Personalized information retrieval system in the framework of fuzzy logic' , Expert Systems with Applications, 35 (1-2) , p. 423.

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Abstract

Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user’s needs become crucial. A wide range of commercial information retrieval systems are based on standard Boolean model and at less scale vector models. Although the deficiencies of these models are now part of text-book knowledge, the development of new models still have to overcome the feasibility and testing challenge. This paper advocates a fuzzy based approach for information retrieval where a new model is put forward. Also, its feasibility and performance are demonstrated through a testing with a large-scale university database and whose results are compared to a standard commercial Boolean model.

Item Type:	Article
Uncontrolled Keywords:	Information retrieval; Fuzzy logic
Themes:	Subjects / Themes > Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Subjects / Themes > Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science Subjects outside of the University Themes
Schools:	Colleges and Schools > College of Science & Technology Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > CASE Control & Systems Engineering Research Centre
Journal or Publication Title:	Expert Systems with Applications
Publisher:	Elsevier
Refereed:	Yes
ISSN:	09574174
Depositing User:	H Kenna
Date Deposited:	08 Jan 2009 10:52
Last Modified:	27 Sep 2011 12:15
URI:	http://usir.salford.ac.uk/id/eprint/953

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