A Counterfactual Modeling Framework for Churn Prediction.

Guozhen Zhang|Jinwei Zeng|Zhengyue Zhao|Depeng Jin|Yong Li


Anthology ID:DBLP:conf/wsdm/ZhangZZJL22
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1424-1432
URL:https://doi.org/10.1145/3488560.3498468
DOI:https://doi.org/10.1145/3488560.3498468
DBLP:conf/wsdm/ZhangZZJL22
BibTeX:
@inproceedings{zhang-2022-counterfactual, author = {Guozhen Zhang and Jinwei Zeng and Zhengyue Zhao and Depeng Jin and Yong Li}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{A Counterfactual Modeling Framework for Churn Prediction}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {1424--1432}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498468}, doi = {https://doi.org/10.1145/3488560.3498468} }