ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison.
| Anthology ID: | DBLP:conf/ecir/Bassani22 |
|---|---|
| Volume: | Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II |
| Year: | 2022 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 259-264 |
| URL: | https://doi.org/10.1007/978-3-030-99739-7_30 |
| DOI: | https://doi.org/10.1007/978-3-030-99739-7_30 |
| DBLP: | conf/ecir/Bassani22 |
| BibTeX: |
@inproceedings{bassani-2022-ranx,
author = {Elias Bassani},
editor = {Matthias Hagen and
Suzan Verberne and
Craig Macdonald and
Christin Seifert and
Krisztian Balog and
Kjetil N{\o}rv{\aa}g and
Vinay Setty},
title = {{ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison}},
booktitle = {{Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {13186},
pages = {259--264},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-030-99739-7_30},
doi = {https://doi.org/10.1007/978-3-030-99739-7_30}
}