Response transformation and profit decomposition for revenue uplift modeling-Reference-Cited by-同舟云学术

Response transformation and profit decomposition for revenue uplift modeling

Published:2020-06 Issue:2 Volume:283 Page:647-661
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Gubela Robin M.,Lessmann Stefan,Jaroszewicz Szymon

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference71 articles.

1. Using quasi-experimental data to develop empirical generalizations for persuasive advertising;Armstrong;Journal of Advertising Research,2009

2. Retention futility: Targeting high risk customers might be ineffective;Ascarza;Journal of Marketing Research,2018

3. Recursive partitioning for heterogeneous causal effects;Athey;Proceedings of the National Academy of Sciences,2016

4. Generalized random forests;Athey;The Annals of Statistics,2019

5. Bayesian neural network learning for repeat purchase modelling in direct marketing;Baesens;European Journal of Operational Research,2002

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uplift modeling and its implications for appointment date prediction in attended home delivery;Decision Support Systems;2024-10

2. Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Propensity score oversampling and matching for uplift modeling;European Journal of Operational Research;2024-08

4. Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach;Neural Computing and Applications;2024-06-28

5. Uplift modeling with quasi-loss-functions;Data Mining and Knowledge Discovery;2024-06-04