HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints.
Wei Wu|Junlin He|Yu Qiao|Guoheng Fu|Li Liu|Jin Yu
| Anthology ID: | DBLP:conf/cikm/WuHQFLY22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4580-4584 |
| URL: | https://doi.org/10.1145/3511808.3557610 |
| DOI: | https://doi.org/10.1145/3511808.3557610 |
| DBLP: | conf/cikm/WuHQFLY22 |
| BibTeX: |
@inproceedings{wu-2022-hqann,
author = {Wei Wu and
Junlin He and
Yu Qiao and
Guoheng Fu and
Li Liu and
Jin Yu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4580--4584},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557610},
doi = {https://doi.org/10.1145/3511808.3557610}
}