A Fuzzy-Based Recommender System for Electronic Products Selection using Users' Requirements and Other Users' Opinion

Bolanle Adefowoke Ojokoh, Olatunji Mumini Omisore, Oluwarotimi Williams Samuel and Temidayo Otunniyi
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Bolanle Adefowoke Ojokoh: Department of Computer Science, Federal University of Technology, Akure, Nigeria
Olatunji Mumini Omisore: Centre for Information Technology and System, University of Lagos, Lagos, Nigeria
Oluwarotimi Williams Samuel: University of Chinese Academy of Sciences, Beijing, China
Temidayo Otunniyi: Federal University of Technology, Akure, Nigeria

International Journal of Fuzzy System Applications (IJFSA), 2015, vol. 4, issue 1, 76-87

Abstract: E-Commerce has become very popular these days because it is convenient, reliable, and fast to use. In spite of these advantages, online buyers often experience difficulty in searching for products on the web, while online businesses are often overwhelmed by the rich data they have collected and find it difficult to promote products appropriate to specific customers. This paper proposes a hybrid recommender system that uses fuzzy logic to intelligently mine the requirements of each specific customer, together with some previous users' opinions about the product, to recommend a list of optimal products to meet users' needs. Experimental results of the proposed system with different brands of laptops prove its effectiveness.

Date: 2015
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