EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation.
| Anthology ID: | DBLP:conf/wsdm/LiL026 |
|---|---|
| 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: | 377-386 |
| URL: | https://doi.org/10.1145/3773966.3777993 |
| DOI: | https://doi.org/10.1145/3773966.3777993 |
| DBLP: | conf/wsdm/LiL026 |
| BibTeX: |
@inproceedings{li-2026-epiccbr,
author = {Yihang Li and
Zhuo Liu and
Wei Wei},
title = {{EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {377--386},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777993},
doi = {https://doi.org/10.1145/3773966.3777993}
}