A recommender system to avoid customer churn: A case study
學年 97
學期 2
出版（發表）日期 2009-05-01
作品名稱 A recommender system to avoid customer churn: A case study
作品名稱（其他語言）
著者 Wang, Yi-Fan; Chiang, Ding-An; Hsu, Mei-Hua; Lin, Cheng-Jung; Lin, I-Long
單位 淡江大學資訊工程學系
出版者 Kidlington: Pergamon
著錄名稱、卷期、頁數 Expert Systems With Applications 36(4), pp.8071-8075
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.
關鍵字 CRM; Data mining; Decision tree; Recommender system
語言 en
ISSN 0957-4174
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Hsu, Mei-Hua
審稿制度
國別 GBR
公開徵稿
出版型式 紙本
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