Predicting Mobile Payment Behavior Through Explainable Machine Learning and Application Usage Analysis

Predicting Mobile Payment Behavior Through Explainable Machine Learning and Application Usage Analysis

In the increasingly competitive mobile ecosystem, understanding user behavior is essential to improve targeted sales and the effectiveness of advertising. With the widespread adoption of smartphones and the increasing variety of mobile applications, predicting user behavior has become more complex....

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Bibliographic Details
Main Authors: Myounggu Lee, Insu Choi, Woo-Chang Kim
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
mobile payment
regression
classification
targeting
explainable machine learning
social network service
Online Access:https://www.mdpi.com/0718-1876/20/2/117
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