CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
Chang Gong|Di Yao|Lei Zhang|Sheng Chen|Wenbin Li|Yueyang Su|Jingping Bi
| Anthology ID: | DBLP:conf/wsdm/Gong0ZCLSB24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 238-246 |
| URL: | https://doi.org/10.1145/3616855.3635766 |
| DOI: | https://doi.org/10.1145/3616855.3635766 |
| DBLP: | conf/wsdm/Gong0ZCLSB24 |
| BibTeX: |
@inproceedings{gong-2024-causalmmm,
author = {Chang Gong and
Di Yao and
Lei Zhang and
Sheng Chen and
Wenbin Li and
Yueyang Su and
Jingping Bi},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{CausalMMM: Learning Causal Structure for Marketing Mix Modeling}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {238--246},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635766},
doi = {https://doi.org/10.1145/3616855.3635766}
}