A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System.
Chao Xiong|Xianwen Yu|Wei Xu|Lei Cheng|Chuan Yuan|Linjian Mo
| Anthology ID: | DBLP:conf/sigir/XiongYX0YM25 |
|---|---|
| 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: | 2182-2191 |
| URL: | https://doi.org/10.1145/3726302.3729881 |
| DOI: | https://doi.org/10.1145/3726302.3729881 |
| DBLP: | conf/sigir/XiongYX0YM25 |
| BibTeX: |
@inproceedings{xiong-2025-learnable,
author = {Chao Xiong and
Xianwen Yu and
Wei Xu and
Lei Cheng and
Chuan Yuan and
Linjian Mo},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System}},
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 = {2182--2191},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729881},
doi = {https://doi.org/10.1145/3726302.3729881}
}