MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
Dugang Liu|Chaohua Yang|Xing Tang|Yejing Wang|Fuyuan Lyu|Weihong Luo|Xiuqiang He|Zhong Ming|Xiangyu Zhao
| Anthology ID: | DBLP:conf/wsdm/LiuY0WLL00024 |
|---|---|
| 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: | 434-442 |
| URL: | https://doi.org/10.1145/3616855.3635859 |
| DOI: | https://doi.org/10.1145/3616855.3635859 |
| DBLP: | conf/wsdm/LiuY0WLL00024 |
| BibTeX: |
@inproceedings{liu-2024-multifs,
author = {Dugang Liu and
Chaohua Yang and
Xing Tang and
Yejing Wang and
Fuyuan Lyu and
Weihong Luo and
Xiuqiang He and
Zhong Ming and
Xiangyu Zhao},
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 = {{MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {434--442},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635859},
doi = {https://doi.org/10.1145/3616855.3635859}
}