Multi-scenario Instance Embedding Learning for Deep Recommender Systems.
Chaohua Yang|Dugang Liu|Xing Tang|Yuwen Fu|Xiuqiang He|Xiangyu Zhao|Zhong Ming
| Anthology ID: | DBLP:conf/sigir/YangL0F00025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2132-2141 |
| URL: | https://doi.org/10.1145/3726302.3730045 |
| DOI: | https://doi.org/10.1145/3726302.3730045 |
| DBLP: | conf/sigir/YangL0F00025 |
| BibTeX: |
@inproceedings{yang-2025-multiscenario,
author = {Chaohua Yang and
Dugang Liu and
Xing Tang and
Yuwen Fu and
Xiuqiang He and
Xiangyu Zhao and
Zhong Ming},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Multi-scenario Instance Embedding Learning for Deep Recommender Systems}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {2132--2141},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730045},
doi = {https://doi.org/10.1145/3726302.3730045}
}