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}
}