A personalized recommender system for the cosmetic business

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Journal Article > Item 987654321/45515

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45515

Title:	A personalized recommender system for the cosmetic business
Authors:	Wang, Yi-fan;Chuang, Yu-liang;Hsu;Mei-hua;葛煥昭;Keh, Huan-chao
Contributors:	淡江大學資訊工程學系
Keywords:	Data mining;Association rules;Clustering;Recommender system
Date:	2004-04
Issue Date:	2010-03-26 19:27:08 (UTC+8)
Publisher:	Elsevier
Abstract:	In order to have an effective command of the relationship between customers and products, we have constructed a personalized recommender system which incorporates content-based, collaborative filtering, and data mining techniques. We have also introduced a new scoring approach to determine customers' interest scores on products. To demonstrate how our system works, we used it to analyze real cosmetic data and generate a recommender score table for sellers to refer to. After tracking its performance for 1 year, we have obtained quite impressive results.
Relation:	Expert Systems with Applications 26(3), pp.427-434
DOI:	10.1016/j.eswa.2003.10.001
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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