Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation.
Cheng Li|Yong Xu|Suhua Tang|Jianfeng Sun|Ke Chen|Xin He|Jianfeng Sun|Ke Chen|Jinde Cao
| Anthology ID: | DBLP:conf/sigir/LiXTHSC26 |
|---|---|
| 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: | 1016-1026 |
| URL: | https://doi.org/10.1145/3805712.3809574 |
| DOI: | https://doi.org/10.1145/3805712.3809574 |
| DBLP: | conf/sigir/LiXTHSC26 |
| BibTeX: |
@inproceedings{li-2026-inferring,
author = {Cheng Li and
Yong Xu and
Suhua Tang and
Jianfeng Sun and
Ke Chen and
Xin He and
Jianfeng Sun and
Ke Chen and
Jinde Cao},
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 = {{Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {1016--1026},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809574},
doi = {https://doi.org/10.1145/3805712.3809574}
}