ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison

Elias Bassani. ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison. In Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty, editors, Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II. Volume 13186 of Lecture Notes in Computer Science, pages 259-264, Springer, 2022. [doi]

@inproceedings{Bassani22,
  title = {ranx: A Blazing-Fast Python Library for Ranking Evaluation and Comparison},
  author = {Elias Bassani},
  year = {2022},
  doi = {10.1007/978-3-030-99739-7_30},
  url = {https://doi.org/10.1007/978-3-030-99739-7_30},
  researchr = {https://researchr.org/publication/Bassani22},
  cites = {0},
  citedby = {0},
  pages = {259-264},
  booktitle = {Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II},
  editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil Nørvåg and Vinay Setty},
  volume = {13186},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-99739-7},
}