U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization.
Heng Er Metilda Chee|Jiayin Wang|Zhiqiang Guo|Weizhi Ma|Qinglang Guo|Min Zhang
| Anthology ID: | DBLP:conf/sigir/CheeWGMGZ25 |
|---|---|
| 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: | 3772-3781 |
| URL: | https://doi.org/10.1145/3726302.3730311 |
| DOI: | https://doi.org/10.1145/3726302.3730311 |
| DBLP: | conf/sigir/CheeWGMGZ25 |
| BibTeX: |
@inproceedings{chee-2025-usticker,
author = {Heng Er Metilda Chee and
Jiayin Wang and
Zhiqiang Guo and
Weizhi Ma and
Qinglang Guo and
Min Zhang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization}},
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 = {3772--3781},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730311},
doi = {https://doi.org/10.1145/3726302.3730311}
}