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} }