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}
}