Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability.
Jie Yang|Ling Luo|Nestor Cabello|Lars Kulik
| Anthology ID: | DBLP:conf/cikm/YangLCK25 |
|---|---|
| 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: | 3762-3772 |
| URL: | https://doi.org/10.1145/3746252.3760992 |
| DOI: | https://doi.org/10.1145/3746252.3760992 |
| DBLP: | conf/cikm/YangLCK25 |
| BibTeX: |
@inproceedings{yang-2025-ordinal,
author = {Jie Yang and
Ling Luo and
Nestor Cabello and
Lars Kulik},
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 = {{Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3762--3772},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3760992},
doi = {https://doi.org/10.1145/3746252.3760992}
}