Personalized information retrieval system in the framework of fuzzy logic

  • Authors:
  • M. Oussalah;S. Khan;S. Nefti

  • Affiliations:
  • University of Birmingham, Electronics, Electrical and Computing, Edgbaston B15 2TT, United Kingdom;University of Birmingham, Electronics, Electrical and Computing, Edgbaston B15 2TT, United Kingdom;University of Salford, Computer Science, School of Sciences, Salford M5 4WT UK, United Kingdom

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2008

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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.