A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games

Volume: 115, Issue: 530, Pages: 538 - 554
Published: Jun 19, 2019
Abstract
We develop a constrained extremely zero inflated joint (CEZIJ) modeling framework for simultaneously analyzing player activity, engagement, and dropouts (churns) in app-based mobile freemium...
Paper Details
Title
A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games
Published Date
Jun 19, 2019
Volume
115
Issue
530
Pages
538 - 554
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