Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention

Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi. Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention. In Carlos Soares, Luís Torgo, editors, Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings. Volume 12986 of Lecture Notes in Computer Science, pages 44-54, Springer, 2021. [doi]

@inproceedings{VerhelstSMDB21,
  title = {Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention},
  author = {Théo Verhelst and Jeevan Shrestha and Denis Mercier and Jean-Christophe Dewitte and Gianluca Bontempi},
  year = {2021},
  doi = {10.1007/978-3-030-88942-5_4},
  url = {https://doi.org/10.1007/978-3-030-88942-5_4},
  researchr = {https://researchr.org/publication/VerhelstSMDB21},
  cites = {0},
  citedby = {0},
  pages = {44-54},
  booktitle = {Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings},
  editor = {Carlos Soares and Luís Torgo},
  volume = {12986},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-88942-5},
}