This work surveys the research contributions of the last decade to the prediction of customer churn and adds a perspective toward what is yet to be reached. The main objective of this article is to report on (1) the methods and algorithms studied, the evaluation metrics adopted, and the results achieved, (2) the data used, and (3) the issues and limitations identified. Furthermore, the work highlights the gaps in the current literature and suggests a direction for future research.

A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey / A. Barsotti, G. Gianini, C. Mio, J. Lin, H. Babbar, A. Singh, F. Taher, E. Damiani. - In: SN COMPUTER SCIENCE. - ISSN 2661-8907. - 5:4(2024 Apr), pp. 404.1-404.15. [10.1007/s42979-024-02722-7]

A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey

A. Barsotti
Primo
;
G. Gianini
Secondo
;
C. Mio;J. Lin;E. Damiani
Ultimo
2024

Abstract

This work surveys the research contributions of the last decade to the prediction of customer churn and adds a perspective toward what is yet to be reached. The main objective of this article is to report on (1) the methods and algorithms studied, the evaluation metrics adopted, and the results achieved, (2) the data used, and (3) the issues and limitations identified. Furthermore, the work highlights the gaps in the current literature and suggests a direction for future research.
Telecom customer churn; Churn prediction; Machine learning techniques; Causal inference
Settore INF/01 - Informatica
   MUSA - Multilayered Urban Sustainability Actiona
   MUSA
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
apr-2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1045248
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