Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders.
Jiwon Jeong|Gabriella Kazai|Woosung Kang|Donghee Han|Sungrae Hong|Gabriella Kazai|Woosung Kang|Mun Yong Yi
| Anthology ID: | DBLP:conf/sigir/JeongHHKY26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3823-3827 |
| URL: | https://doi.org/10.1145/3805712.3809929 |
| DOI: | https://doi.org/10.1145/3805712.3809929 |
| DBLP: | conf/sigir/JeongHHKY26 |
| BibTeX: |
@inproceedings{jeong-2026-every,
author = {Jiwon Jeong and
Gabriella Kazai and
Woosung Kang and
Donghee Han and
Sungrae Hong and
Gabriella Kazai and
Woosung Kang and
Mun Yong Yi},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3823--3827},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809929},
doi = {https://doi.org/10.1145/3805712.3809929}
}