Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions.

Yang Xiang|Li Fan|Chenke Yin|Menglin Kong|Chengtao Ji


Anthology ID:DBLP:conf/cikm/Xiang0YKJ25
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:5361-5365
URL:https://doi.org/10.1145/3746252.3760793
DOI:https://doi.org/10.1145/3746252.3760793
DBLP:conf/cikm/Xiang0YKJ25
BibTeX:
@inproceedings{xiang-2025-harnessing, author = {Yang Xiang and Li Fan and Chenke Yin and Menglin Kong and Chengtao Ji}, 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 = {{Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {5361--5365}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3760793}, doi = {https://doi.org/10.1145/3746252.3760793} }