Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Moyu Zhang|Seongtae Hong|Moyu Zhang|Seongtae Hong|Hyeonseok Moon|Yongxiang Tang|Hyeonseok Moon|Yongxiang Tang|Heuiseok Lim|Jinxin Hu|Heuiseok Lim|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
Seongtae Hong and
Moyu Zhang and
Seongtae Hong and
Hyeonseok Moon and
Yongxiang Tang and
Hyeonseok Moon and
Yongxiang Tang and
Heuiseok Lim and
Jinxin Hu and
Heuiseok Lim 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}
}