教師資料查詢 | 類別: 期刊論文 | 教師: 王亦凡 YI-FAN WANG (瀏覽個人網頁)

標題: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
語言英文
ISSN0957-4174
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
國別英國
公開徵稿
出版型式紙本
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