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


Vol. 11,  No. 7, pp. 1537-1542, Dec.  2004
10.3745/KIPSTD.2004.11.7.1537


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  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 suppoting 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 interlligent 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.

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[IEEE Style]

Y. J. Na, I. S. Ko, K. H. Han, "A Design of a Recommendation System for One to One Web Marketing," The KIPS Transactions:PartD, vol. 11, no. 7, pp. 1537-1542, 2004. DOI: 10.3745/KIPSTD.2004.11.7.1537.

[ACM Style]

Yun Ji Na, Il Seok Ko, and Kun Heui Han. 2004. A Design of a Recommendation System for One to One Web Marketing. The KIPS Transactions:PartD, 11, 7, (2004), 1537-1542. DOI: 10.3745/KIPSTD.2004.11.7.1537.

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