Budgeted Embedding Table For Recommender Systems.
Yunke Qu|Tong Chen|Quoc Viet Hung Nguyen|Hongzhi Yin
| Anthology ID: | DBLP:conf/wsdm/Qu0NY24 |
|---|---|
| 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: | 557-566 |
| URL: | https://doi.org/10.1145/3616855.3635778 |
| DOI: | https://doi.org/10.1145/3616855.3635778 |
| DBLP: | conf/wsdm/Qu0NY24 |
| BibTeX: |
@inproceedings{qu-2024-budgeted,
author = {Yunke Qu and
Tong Chen and
Quoc Viet Hung Nguyen and
Hongzhi Yin},
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 = {{Budgeted Embedding Table For 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 = {557--566},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635778},
doi = {https://doi.org/10.1145/3616855.3635778}
}