Web: https://towardsdatascience.com/the-paper-a-deep-probabilistic-model-for-customer-lifetime-value-prediction-eb5d61a83ecd?source=rss----7f60cf5620c9---4

Jan. 26, 2022, 12:32 p.m. | Maja Pavlovic

Towards Data Science - Medium towardsdatascience.com

A run through the paper’s neural network architecture and loss function

Contents

  • About
  • Paper Overview
  • Deep Dive: Architecture - Output Layer
  • Deep Dive: ZILN Loss
  • Summary

About

Predicting a customer’s lifetime value (LTV) can be quite a challenging task. Wang, Liu and Miao propose using a neural network with a mixture loss to handle the intricacies of churn and lifetime value modelling of new customers.

In this blogpost we’ll take a look at their proposed solution and go through the …

customer-lifetime-value deep deep-dives deep learning model neural networks prediction probabilistic-models value

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