Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems.
Fei Huang|Zhijian Feng|Wenhao Zheng|Xuanji Xiao|Fei Huang|Zhijian Feng
| Anthology ID: | DBLP:conf/sigir/FengZX26 |
|---|---|
| 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: | 3710-3714 |
| URL: | https://doi.org/10.1145/3805712.3809964 |
| DOI: | https://doi.org/10.1145/3805712.3809964 |
| DBLP: | conf/sigir/FengZX26 |
| BibTeX: |
@inproceedings{huang-2026-reinforcing,
author = {Fei Huang and
Zhijian Feng and
Wenhao Zheng and
Xuanji Xiao and
Fei Huang and
Zhijian Feng},
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 = {{Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3710--3714},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809964},
doi = {https://doi.org/10.1145/3805712.3809964}
}