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http://dx.doi.org/10.3745/KIPSTD.2004.11D.7.1537

A Design of a Recommendation System for One to One Web Marketing  

Na Yun Ji (우송대학교 컴퓨터학과)
Go Il Seok (충북과학대학 전자상거래과)
Han Kun Heui (천안대학교 정보통신학과)
Publication Information
The KIPS Transactions:PartD / v.11D, no.7, 2004 , pp. 1537-1542 More about this Journal
Abstract
Various studies to increase customer satisfaction of a web based system are performed actively. Also in recent days an interest about the personalization that supporting a order type service on customer's viewpoint was raised. So the studies supporting the personalization is required in a web-based marketing system. In this study, we designed an intelligent recommendation system which supporting one to one web marketing using cross selling. The proposed system used an intelligent data mining method as a concurrent cross selling and a sequential cross selling. Also, In experiment on the prototype, we show a proposed system was usable in an practical system applying the mining result.
Keywords
개인화;데이터마이닝;웹 마켓팅;크로스셀링;
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Times Cited By KSCI : 3  (Citation Analysis)
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