Will they stay or will they go? : application of machine learning classifiers of purchase and churn prediction to a digital journalistic platform
| Year of publication: |
2025
|
|---|---|
| Authors: | O'Brien, Daniel ; Kunz, Reinhard E. |
| Published in: |
Journal of media business studies. - Jönköping : Media Management and Transformation Centre, Jönköping International Business School (JIBS MMT Centre), ISSN 2376-2977, ZDB-ID 2410493-0. - Vol. 22.2025, 3, p. 237-265
|
| Subject: | churn prediction | digital journalism | imbalanced data | Predictive analytics | purchase prediction | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Digitalisierung | Digitization | Social Web | Social web |
-
Online newspaper subscriptions : using machine learning to reduce and understand customer churn
Belchior, Lúcia Madeira, (2024)
-
Lee, Eunjung, (2020)
-
Sentiment analysis in electronic negotiations
Körner, Michael, (2019)
- More ...
-
Zabel, Christian, (2023)
-
Zabel, Christian, (2025)
-
O'Brien, Daniel, (2024)
- More ...