Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection.
Negar Arabzadeh|Xinyi Yan|Charles L. A. Clarke
| Anthology ID: | DBLP:conf/cikm/ArabzadehYC21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2862-2866 |
| URL: | https://doi.org/10.1145/3459637.3482159 |
| DOI: | https://doi.org/10.1145/3459637.3482159 |
| DBLP: | conf/cikm/ArabzadehYC21 |
| BibTeX: |
@inproceedings{arabzadeh-2021-predicting,
author = {Negar Arabzadeh and
Xinyi Yan and
Charles L. A. Clarke},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2862--2866},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482159},
doi = {https://doi.org/10.1145/3459637.3482159}
}