淡江大學機構典藏:Item 987654321/45515
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    题名: A personalized recommender system for the cosmetic business
    作者: Wang, Yi-fan;Chuang, Yu-liang;Hsu;Mei-hua;葛煥昭;Keh, Huan-chao
    贡献者: 淡江大學資訊工程學系
    关键词: Data mining;Association rules;Clustering;Recommender system
    日期: 2004-04
    上传时间: 2010-03-26 19:27:08 (UTC+8)
    出版者: Elsevier
    摘要: 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.
    關聯: Expert Systems with Applications 26(3), pp.427-434
    DOI: 10.1016/j.eswa.2003.10.001
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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