淡江大學機構典藏:Item 987654321/96931
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    题名: Combing Customer Profiles for Members' Repurchase Rate Predictions
    作者: Wang, Yi-Hsin;Chiang, Rui-Dong;Chu, Huan-Chen
    贡献者: 淡江大學資訊工程學系
    关键词: CRM;Customer profile;Concept drift detection;Repurchase rate prediction
    日期: 2013-06-01
    上传时间: 2014-03-14 13:00:19 (UTC+8)
    出版者: Oulu: Academy Publisher
    摘要: Customer relationship management (CRM) leverages historical users’ behaviors in order to dawn effort of enhancing customer satisfaction and loyalty. Thus, constructing a successful customer profile plays a critical role in CRM. As customers’ preferences may change over time, we take the different types of past behavior patterns of the registered members to capture concept drifts. Then, we combine the repurchase index (RI) and the preference drifts to propose a Behavioral Repurchase Prediction (BRP) model, and to predict the members’ repurchase rates in the specific category of the e-shop. The marketers of the e-shop can target the registered members with high repurchase rates and design corresponding marketing strategies. The experimental results with a real dataset show that our model can effectively predict the registered members’ repurchase rates.
    關聯: Journal of Software 8(6), pp.1316-1326
    DOI: 10.4304/jsw.8.6.1316-1326
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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