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} }