Personalized information retrieval system in the framework of fuzzy logic

Nefti-Meziani, S; Oussalah, M; Khan, S

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.

Citation

Nefti-Meziani, S., Oussalah, M., & Khan, S. (2008). Personalized information retrieval system in the framework of fuzzy logic. Expert systems with applications, 35(1-2), 423. https://doi.org/10.1016/j.eswa.2007.07.060

• Journal Article Type: Article
• Publication Date: Jul 1, 2008
• Deposit Date: Jan 8, 2009
• Journal: Expert Systems with Applications
• Print ISSN: 0957-4174
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 35
• Issue: 1-2
• Pages: 423
• DOI: https://doi.org/10.1016/j.eswa.2007.07.060
• Keywords: Information retrieval; Fuzzy logic
• Publisher URL: http://dx.doi.org/10.1016/j.eswa.2007.07.060