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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2009 Vol.1(2): 183-187 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.30

Products Recommendation in a B2CE-Commerce Using Fuzzy Logic

Salam A. Ismaeel, Karim M. Ahjebory and Oras I. Sulaiman

 

Abstract—Customer is the most important success factor for Business to Costumer (B2C) e-Commerce. There are two important ways have been used nowadays which are data mining and live customer support. These two ways are effective and reliable, but each one has its own problem. In this paper, an intelligent algorithm developed to replace these two methods with fuzzy rules. The fuzzy rules are generated from history data mining and an expert converts that data to rules. The solutions made through designing and implementing two databases, one for the fuzzy memberships and the other for thee-Commerce catalogue system. Then using PHP programming language, a script made to deal with these databases and link between them, then read data and process them using fuzzy logic to generate a recommendation to the customer.The algorithm is applied to three kinds of products, and the results are compared with Amazon site and give high agreement.

 

Index Terms—E-commerce service; B2C; Fuzzy logic, Products Recommendation

[PDF]

 

Cite: Salam A. Ismaeel, Karim M. Ahjebory and Oras I. Sulaiman, "Products Recommendation in a B2CE-Commerce Using Fuzzy Logic," International Journal of Computer Theory and Engineering vol. 1, no. 2, pp. 183-187, 2009.

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