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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/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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