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} }