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} }