Design and Implementation of e-Commerce Applications using Improved Recommender Systems


The KIPS Transactions:PartD, Vol. 9, No. 2, pp. 329-336, Apr. 2002
10.3745/KIPSTD.2002.9.2.329,   PDF Download:

Abstract

With the fast development of Internet environment, e-Commerce is rapidly increasing. In the expanding e-Commerce environment, the need for a new e-Commerce systems that will deliver products to the customer rapidly and increase sales is growing bigger. Recently, these requirements brought many researches on recommender systems. However, until now, those recommender systems have a limit because it takes too much time for recommender systems to give customers the recommendations in real time, if the number of purchase data of customers is large. So this paper concerns on the recommender systems using collaborative filtering as one of the solutions to increase the competitive power. We proposed and experimented the more improved recommender systems which could decrease the data size to shorten the recommending time by using the representative category of the product which customers want to buy. Also, we design and implement a recommender system using Enterprise JavaBeans.


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Cite this article
[IEEE Style]
Y. S. Kim, B. C. Kim, B. J. Yoon, "Design and Implementation of e-Commerce Applications using Improved Recommender Systems," The KIPS Transactions:PartD, vol. 9, no. 2, pp. 329-336, 2002. DOI: 10.3745/KIPSTD.2002.9.2.329.

[ACM Style]
Young Seol Kim, Byung Cheon Kim, and Byung Joo Yoon. 2002. Design and Implementation of e-Commerce Applications using Improved Recommender Systems. The KIPS Transactions:PartD, 9, 2, (2002), 329-336. DOI: 10.3745/KIPSTD.2002.9.2.329.