Fintech

客户生命周期价值预测

Customer Lifetime Value Prediction

A predictive modeling process used in financial technology to estimate the net profit attributed to the entire future relationship with a customer. / 一种用于金融科技领域的预测建模过程，用于估计与客户整个未来关系相关的净收益。

Knowledge type: 实际应用
First proposed or discovered
Proposer: Turkey Farm member
Creator: 农场主
Last updated: 2026-10-31 19:06:53

Sub-knowledge points

Temporal Convolutional Network / 数学理论Embedded Feature Selection (FS)Variational Graph AutoencoderGraph Convolutional Network (GCN)

Higher-order knowledge points

Deep Learning / 工艺技术Customer Relationship Management (CRM)Risk Management

Main parameters and performance indicators

Mean Squared Error (MSE): 0.000081Mean Absolute Error (MAE): 0.007126Root Mean Squared Error (RMSE): 0.009011Mean Absolute Percentage Error (MAPE): 0.114715

Open problems

Handling non-stationary data in dynamic financial environmentsInterpretability of deep learning models for regulatory compliance

Related literature

ranked by community stars

An integrated deep neural learning architecture with embedded feature reduction for customer lifetime value prediction in fintech firmsOpen source

客户生命周期价值预测

Sub-knowledge points

Higher-order knowledge points

Main parameters and performance indicators

Open problems

Related products and links