Journal of Media Business Studies, pages 1-24
Online newspaper subscriptions: using machine learning to reduce and understand customer churn
2
ISCTE – Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Avenida das Forças Armadas, Lisboa, Portugal
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Publication type: Journal Article
Publication date: 2024-04-22
Journal:
Journal of Media Business Studies
Q2
Q4
SJR: 0.489
CiteScore: 4.0
Impact factor: 0.6
ISSN: 16522354, 23762977
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Belchior L. M., António N., Fernandes E. Online newspaper subscriptions: using machine learning to reduce and understand customer churn // Journal of Media Business Studies. 2024. pp. 1-24.
GOST all authors (up to 50)
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Belchior L. M., António N., Fernandes E. Online newspaper subscriptions: using machine learning to reduce and understand customer churn // Journal of Media Business Studies. 2024. pp. 1-24.
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TY - JOUR
DO - 10.1080/16522354.2024.2343638
UR - https://www.tandfonline.com/doi/full/10.1080/16522354.2024.2343638
TI - Online newspaper subscriptions: using machine learning to reduce and understand customer churn
T2 - Journal of Media Business Studies
AU - Belchior, Lúcia Madeira
AU - António, Nuno
AU - Fernandes, Elizabeth
PY - 2024
DA - 2024/04/22
PB - Taylor & Francis
SP - 1-24
SN - 1652-2354
SN - 2376-2977
ER -
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@article{2024_Belchior,
author = {Lúcia Madeira Belchior and Nuno António and Elizabeth Fernandes},
title = {Online newspaper subscriptions: using machine learning to reduce and understand customer churn},
journal = {Journal of Media Business Studies},
year = {2024},
publisher = {Taylor & Francis},
month = {apr},
url = {https://www.tandfonline.com/doi/full/10.1080/16522354.2024.2343638},
pages = {1--24},
doi = {10.1080/16522354.2024.2343638}
}