Towards Principled Learning for Re-ranking in Recommender Systems.
Qunwei Li|Linghui Li|Jianbin Lin|Wenliang Zhong
| Anthology ID: | DBLP:conf/sigir/LiLLZ25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3030-3034 |
| URL: | https://doi.org/10.1145/3726302.3730257 |
| DOI: | https://doi.org/10.1145/3726302.3730257 |
| DBLP: | conf/sigir/LiLLZ25 |
| BibTeX: |
@inproceedings{li-2025-towards,
author = {Qunwei Li and
Linghui Li and
Jianbin Lin and
Wenliang Zhong},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Towards Principled Learning for Re-ranking in Recommender Systems}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3030--3034},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730257},
doi = {https://doi.org/10.1145/3726302.3730257}
}