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} }