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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59844

    题名: A recommender system to avoid customer churn: A case study
    作者: Wang, Yi-Fan;Chiang, Ding-An;Hsu, Mei-Hua;Lin, Cheng-Jung;Lin, I-Long
    贡献者: 淡江大學資訊工程學系
    关键词: CRM;Data mining;Decision tree;Recommender system
    日期: 2009-05
    上传时间: 2013-06-07 10:46:43 (UTC+8)
    出版者: Kidlington: Pergamon
    摘要: A major concern for modern enterprises is to promote customer value, loyalty and contribution through services such as can help establish a long-term, honest relationship with customers. For purposes of better customer relationship management, data mining technology is commonly used to analyze large quantities of data about customer bargains, purchase preferences, customer churn, etc. This paper aims to propose a recommender system for wireless network companies to understand and avoid customer churn. To ensure the accuracy of the analysis, we use the decision tree algorithm to analyze data of over 60,000 transactions and of more than 4000 members, over a period of three months. The data of the first nine weeks is used as the training data, and that of the last month as the testing data. The results of the experiment are found to be very useful for making strategy recommendations to avoid customer churn.
    關聯: Expert Systems With Applications 36(4), pp.8071-8075
    DOI: 10.1016/j.eswa.2008.10.089
    显示于类别:[資訊工程學系暨研究所] 期刊論文


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