Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

Xiaopeng Li|Jingtong Gao|Pengyue Jia|Xiangyu Zhao|Yichao Wang|Wanyu Wang|Yejing Wang|Yuhao Wang|Huifeng Guo|Ruiming Tang


Anthology ID:DBLP:conf/cikm/0014GJ00WW0GT25
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:1685-1695
URL:https://doi.org/10.1145/3746252.3761137
DOI:https://doi.org/10.1145/3746252.3761137
DBLP:conf/cikm/0014GJ00WW0GT25
BibTeX:
@inproceedings{li-2025-scenariowise, author = {Xiaopeng Li and Jingtong Gao and Pengyue Jia and Xiangyu Zhao and Yichao Wang and Wanyu Wang and Yejing Wang and Yuhao Wang and Huifeng Guo and Ruiming Tang}, 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 = {{Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {1685--1695}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761137}, doi = {https://doi.org/10.1145/3746252.3761137} }