Personalized information retrieval system in the framework of fuzzy logic
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
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.
Copyright 2008 Elsevier B.V., All rights reserved.
|Number of pages||11|
|Journal||Expert Systems with Applications|
|Publication status||Published - 1 Jul 2008|
- fuzzy logic, information retrieval