Climber: Toward Efficient Scaling Laws for Large Recommendation Models.
Songpei Xu|Shijia Wang|Da Guo|Xianwen Guo|Qiang Xiao|Bin Huang|Guanlin Wu|Chuanjiang Luo
| Anthology ID: | DBLP:conf/cikm/XuWGGXHWL25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6193-6200 |
| URL: | https://doi.org/10.1145/3746252.3761561 |
| DOI: | https://doi.org/10.1145/3746252.3761561 |
| DBLP: | conf/cikm/XuWGGXHWL25 |
| BibTeX: |
@inproceedings{xu-2025-climber,
author = {Songpei Xu and
Shijia Wang and
Da Guo and
Xianwen Guo and
Qiang Xiao and
Bin Huang and
Guanlin Wu and
Chuanjiang Luo},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Climber: Toward Efficient Scaling Laws for Large Recommendation Models}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6193--6200},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761561},
doi = {https://doi.org/10.1145/3746252.3761561}
}