Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou.
Kunpeng Li|Guangcui Shao|Naijun Yang|Xiao Fang|Yang Song
| Anthology ID: | DBLP:conf/cikm/LiSYFS22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3243-3251 |
| URL: | https://doi.org/10.1145/3511808.3557152 |
| DOI: | https://doi.org/10.1145/3511808.3557152 |
| DBLP: | conf/cikm/LiSYFS22 |
| BibTeX: |
@inproceedings{li-2022-billionuser,
author = {Kunpeng Li and
Guangcui Shao and
Naijun Yang and
Xiao Fang and
Yang Song},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3243--3251},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557152},
doi = {https://doi.org/10.1145/3511808.3557152}
}