Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Moyu Zhang|Yongxiang Tang|Jinxin Hu|Yu Zhang
| Anthology ID: | DBLP:conf/sigir/ZhangTHZ24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1557-1566 |
| URL: | https://doi.org/10.1145/3626772.3657803 |
| DOI: | https://doi.org/10.1145/3626772.3657803 |
| DBLP: | conf/sigir/ZhangTHZ24 |
| BibTeX: |
@inproceedings{zhang-2024-scenarioadaptive,
author = {Moyu Zhang and
Yongxiang Tang and
Jinxin Hu and
Yu Zhang},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {1557--1566},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657803},
doi = {https://doi.org/10.1145/3626772.3657803}
}