Personalized information retrieval system in the framework of fuzzy logic

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Authors

Colleges, School and Institutes

External organisations

  • Electronics, Electrical and Computing

Abstract

Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user's needs become crucial. Most of commercial information retrieval system 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.

Details

Original languageEnglish
Title of host publicationProceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference
Publication statusPublished - 1 Jan 2005