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Estimating the Temperature on the Reinforcing Bars of Composite Slabs Under Fire Conditions Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Uplift Modeling Using the Transformed Outcome Approach

Authors : Paulo Pinheiro, Luís Cavique

Published in: Progress in Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

Churn and how to deal with it is an essential issue in the telecommunications sector. Within the scope of actionable knowledge, we argue that it is crucial to find effective personalized interventions that can lead to a reduction in dropouts and that, at the same time, make it possible to determine the causal effect of these interventions. Considering an intervention that encourages clients to opt for a longer-term contract for benefits, we used Uplift modeling and the Transformed Outcome Approach as a machine learning-based technique for individual-level prediction. The result is actionable profiles of persuadable customers that increase retention and strike the right balance between the campaign budget.

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Metadata
Title
Uplift Modeling Using the Transformed Outcome Approach
Authors
Paulo Pinheiro
Luís Cavique
Copyright Year
2022
Book
Progress in Artificial Intelligence

Print ISBN: 978-3-031-16473-6

Electronic ISBN: 978-3-031-16474-3

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-031-16474-3_51

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