An adaptive fuzzy information retrieval model to improve response time perceived by e-commerce clients

Aderounmu, G. A.; Soriyan, H. A.; Ajayi, Anuoluwapo; Aderounmu, Adesola; Soriyan, Abimbola

Abstract

In this paper, an adaptive fuzzy logic-based information retrieval model is presented to enable users retrieve exact and specific information they sort after. The proposed IR model takes into consideration the limited bandwidth between ISP and its users; and the characteristics (processor speed, memory size, resolution, availability of anti-virus, etc.) of clients' devices in ensuring that a customer has a fruitful and eventful session while conducting business online. The model was designed using unified modelling language and implemented using Borland JBuilder. A performance evaluation of the proposed information retrieval system using two evaluation measures was conducted. The experimental result indicated that the model has an acceptable performance. © 2009 Elsevier Ltd. All rights reserved.

• Journal Article Type: Article
• Acceptance Date: Sep 2, 2009
• Online Publication Date: Jun 8, 2009
• Publication Date: Jan 1, 2010
• Journal: Expert Systems with Applications
• Print ISSN: 0957-4174
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Issue: 1
• Pages: 82-91
• DOI: https://doi.org/10.1016/j.eswa.2009.05.071
• Keywords: information retrieval, fuzzy logic, response time, fuzzy expert system
• Public URL: https://uwe-repository.worktribe.com/output/981880
• Publisher URL: https://doi.org/10.1016/j.eswa.2009.05.071