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Recommending System of Products based on Data mining Technique  

Jung, Min-A. (목포대학교 컴퓨터교육과)
Park, Kyung-Woo (목포대학교 정보공학부 컴퓨터공학)
Cho, Sung-Eui (목포대학교 컴퓨터교육과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.3, 2006 , pp. 608-613 More about this Journal
Abstract
There are many e-showing mall because of revitalization of e-commerce system. It is necessary to recommending system of products that is for saving time and effort of customer. In this paper, we propose the system that is applying classification among data mining techniques to analysis of log data of customer. This log data contains access of user and purchasing of products. The proposed system operates in two phases. The first phase is composed of data filter module and association extraction module among web pages. The second phase is composed of personalization module and rule generation module. Customer can easily know the recommended sites because the proposed system can present rank of the recommended web pages to customer. As a result, the proposed system can efficiently do recommending of products to customer.
Keywords
Data mining; Recommending system; Personalization; Data Preprocessing;
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