Three-stage churn management framework based on DCN with asymmetric loss

作者：

Highlights：

• Proposed a three-stage churn management framework.

• Integrate churn modeling, customer segmentation, strategy making seamlessly.

• Applied and interpreted Deep & Cross Network in customer churn modeling.

• Proposed an approach of fast feature deduction to assess strategies.

• The proposed framework was successfully employed in experiments.

摘要

•Proposed a three-stage churn management framework.•Integrate churn modeling, customer segmentation, strategy making seamlessly.•Applied and interpreted Deep & Cross Network in customer churn modeling.•Proposed an approach of fast feature deduction to assess strategies.•The proposed framework was successfully employed in experiments.

论文关键词：Churn prediction,Customer segmentation,Fast feature deduction,Deep and Cross Network,Asymmetric loss

论文评审过程：Received 16 November 2021, Revised 16 June 2022, Accepted 26 June 2022, Available online 30 June 2022, Version of Record 5 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117998