Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model.

Bencheng Yan|Shilei Liu|Zhiyuan Zeng|Zihao Wang|Yizhen Zhang|Yujin Yuan|Langming Liu|Jiaqi Liu|Di Wang|Wenbo Su|Pengjie Wang|Jian Xu|Bo Zheng


Anthology ID:DBLP:conf/wsdm/YanLZW0YLLWS00026
Volume:Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
Year:2026
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:798-807
URL:https://doi.org/10.1145/3773966.3777970
DOI:https://doi.org/10.1145/3773966.3777970
DBLP:conf/wsdm/YanLZW0YLLWS00026
BibTeX:
@inproceedings{yan-2026-unlocking, author = {Bencheng Yan and Shilei Liu and Zhiyuan Zeng and Zihao Wang and Yizhen Zhang and Yujin Yuan and Langming Liu and Jiaqi Liu and Di Wang and Wenbo Su and Pengjie Wang and Jian Xu and Bo Zheng}, title = {{Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model}}, booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}}, pages = {798--807}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3773966.3777970}, doi = {https://doi.org/10.1145/3773966.3777970} }