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} }