Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
387797 | Expert Systems with Applications | 2008 | 11 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Oussalah, S. Khan, S. Nefti,