Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.
Shuyao Wang|Yongduo Sui|Jiancan Wu|Zhi Zheng|Hui Xiong
| Anthology ID: | DBLP:conf/wsdm/WangSWZ024 |
|---|---|
| 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: | 740-749 |
| URL: | https://doi.org/10.1145/3616855.3635780 |
| DOI: | https://doi.org/10.1145/3616855.3635780 |
| DBLP: | conf/wsdm/WangSWZ024 |
| BibTeX: |
@inproceedings{wang-2024-dynamic,
author = {Shuyao Wang and
Yongduo Sui and
Jiancan Wu and
Zhi Zheng and
Hui Xiong},
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 = {{Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {740--749},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635780},
doi = {https://doi.org/10.1145/3616855.3635780}
}