Online newspaper subscriptions: using machine learning to reduce and understand customer churn
Author:
Affiliation:
1. NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisbon, Portugal
2. ISCTE – Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Avenida das Forças Armadas, Lisboa, Portugal
Funder
national funds through FCT
Centro de Investigação em Gestão de Informação (MagIC)/NOVA
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/16522354.2024.2343638
Reference59 articles.
1. Abdollahpouri, H., Malthouse, E. C., Konstan, J. A., Mobasher, B., & Gilbert, J. (2021). Toward the next generation of news recommender systems. The Web Conference 2021 - Companion of the World Wide Web Conference, WWW (pp. 402–406). https://doi.org/10.1145/3442442.3452327
2. A Survey on Churn Analysis in Various Business Domains
3. Hotel online reviews: creating a multi-source aggregated index
4. From Gratis to Paywalls
5. Attfield S. Kazai G. & Lalmas M. (2011). Towards a science of user engagement. Position paper. WSDM Workshop on User Modelling for Web Applications. http://www.dcs.gla.ac.uk/~mounia/Papers/engagement.pdf
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