Customer retention prediction with CNN

Yen Huei Ko, Ping Yu Hsu, Ming Shien Cheng, Yang Ruei Jheng, Zhi Chao Luo

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

The prediction of customer retention provides competitive advantage to enterprises. When customer purchases more with satisfaction, it will increase customer retention. Customer repurchase behavior represents customer with satisfaction on enterprise to buy again resulting in customer retention. In e-commerce and telemarketing, trust and loyalty are key factors influencing customer repurchase behavior. In the past, most researches were relied on questionnaire survey to collect data. The drawbacks of such approach are those participants may not be willing to fill the lengthy questions which caused low data collection rate and even low quality data being collected. This study is to apply data driven techniques to extract information from transaction logs in ERP system utilized to compute trust and loyalty based on the verified formulation. The values of defined trust and loyalty are treated as independent variables to predict customer repurchase behavior by Convolutional Neural Networks (CNNs). The prediction accuracy reaches 84%.

原文???core.languages.en_GB???
主出版物標題Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings
編輯Ying Tan, Yuhui Shi
發行者Springer Verlag
頁面104-113
頁數10
ISBN(列印)9789813295629
DOIs
出版狀態已出版 - 2019
事件4th International Conference on Data Mining and Big Data, DMBD 2019 - Chiang Mai, Thailand
持續時間: 26 7月 201930 7月 2019

出版系列

名字Communications in Computer and Information Science
1071
ISSN(列印)1865-0929
ISSN(電子)1865-0937

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???event.eventtypes.event.conference???4th International Conference on Data Mining and Big Data, DMBD 2019
國家/地區Thailand
城市Chiang Mai
期間26/07/1930/07/19

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