Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation.

Bokai Lin|Naijun Gao|Yucen Gao|Heng Chang|Cheng Hu|Zhinan Zhang|Xiaofeng Gao


Anthology ID:DBLP:conf/sigir/LinGGCHZG26
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:1106-1117
URL:https://doi.org/10.1145/3805712.3809545
DOI:https://doi.org/10.1145/3805712.3809545
DBLP:conf/sigir/LinGGCHZG26
BibTeX:
@inproceedings{lin-2026-crossdomain, author = {Bokai Lin and Naijun Gao and Yucen Gao and Heng Chang and Cheng Hu and Zhinan Zhang and Xiaofeng Gao}, 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 = {{Cross-Domain Interest Representation Learning for Scenario- and Task-Aware 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 = {1106--1117}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809545}, doi = {https://doi.org/10.1145/3805712.3809545} }