Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.
Jingtao Zhan|Jiaxin Mao|Yiqun Liu|Jiafeng Guo|Min Zhang|Shaoping Ma
| Anthology ID: | DBLP:conf/wsdm/ZhanM0GZM22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1328-1336 |
| URL: | https://doi.org/10.1145/3488560.3498443 |
| DOI: | https://doi.org/10.1145/3488560.3498443 |
| DBLP: | conf/wsdm/ZhanM0GZM22 |
| BibTeX: |
@inproceedings{zhan-2022-learning,
author = {Jingtao Zhan and
Jiaxin Mao and
Yiqun Liu and
Jiafeng Guo and
Min Zhang and
Shaoping Ma},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1328--1336},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498443},
doi = {https://doi.org/10.1145/3488560.3498443}
}