Refereed full papers (journals, book chapters, international conferences)

2004

@article{CCK2004,
	vgclass =	{refpap},
	author =	{Yeong Bin Cho and Yoon Ho Cho and Soung Hie Kim},
	title =	{Mining changes in customer buying behavior for
	collaborative recommendations},
	journal =	{Expert Systems with Applications},
	year =	{2004},
	note =	{(in press)},
	url =	{http://dx.doi.org/10.1016/j.eswa.2004.10.015},
	abstract =	{The preferences of customers change over time. However,
	existing collaborative filtering (CF) systems are static, since they
	only incorporate information regarding whether a customer buys a
	product during a certain period and do not make use of the purchase
	sequences of customers. Therefore, the quality of the recommendations
	of the typical CF could be improved through the use of information on
	such sequences.

	In this study, we propose a new methodology for enhancing the quality
	of CF recommendation that uses customer purchase sequences. The
	proposed methodology is applied to a large department store in Korea
	and compared to existing CF techniques. Various experiments using
	real-world data demonstrate that the proposed methodology provides
	higher quality recommendations than do typical CF techniques, with
	better performance, especially with regard to heavy users.},
}