Personalized information retrieval system in the framework of fuzzy logic

Mourad Oussalah, Sumaira Khan, S Nefti

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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. © 2007 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)423-433
Number of pages11
JournalExpert Systems with Applications
Volume35
Issue number1-2
DOIs
Publication statusPublished - 1 Jul 2008

Keywords

  • fuzzy logic
  • information retrieval

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