Churn Prediction with CNN model in Nutrient Supplement Industry

• Main Authors: Che-Kai Hsu, 許哲愷
• Other Authors: Ping-Yu Hsu
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/9h58hs

碩士 === 國立中央大學 === 企業管理學系 === 107 === There is no nutrient supplement industry in the current study of customer churn or change, and there is no clear definition of total churn and partial churn. This thesis may be the first research of the customer churn of nutrient supplement industry, and a clear definition is given for partial churn used in this thesis. Join another facet other than the most important facet of loyalty about customer churn research—trust. Using Convolutional Neural Network(CNN) to determine if the customer will churn. The results show that the Convolutional Neural Network is indeed superior to the SVM.