SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems.
Beichuan Zhang|Chenggen Sun|Jianchao Tan|Xinjun Cai|Jun Zhao|Mengqi Miao|Kang Yin|Chengru Song|Na Mou|Yang Song
| Anthology ID: | DBLP:conf/cikm/0003STCZMYSMS23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4930-4937 |
| URL: | https://doi.org/10.1145/3583780.3615499 |
| DOI: | https://doi.org/10.1145/3583780.3615499 |
| DBLP: | conf/cikm/0003STCZMYSMS23 |
| BibTeX: |
@inproceedings{zhang-2023-shark,
author = {Beichuan Zhang and
Chenggen Sun and
Jianchao Tan and
Xinjun Cai and
Jun Zhao and
Mengqi Miao and
Kang Yin and
Chengru Song and
Na Mou and
Yang Song},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4930--4937},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615499},
doi = {https://doi.org/10.1145/3583780.3615499}
}