When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations

Joanna Misztal-Radecka, Bipin Indurkhya. When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations. In Ludovico Boratto, Stefano Faralli 0001, Mirko Marras, Giovanni Stilo, editors, Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings. Volume 1418 of Communications in Computer and Information Science, pages 92-105, Springer, 2021. [doi]

@inproceedings{Misztal-Radecka21-1,
  title = {When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations},
  author = {Joanna Misztal-Radecka and Bipin Indurkhya},
  year = {2021},
  doi = {10.1007/978-3-030-78818-6_9},
  url = {https://doi.org/10.1007/978-3-030-78818-6_9},
  researchr = {https://researchr.org/publication/Misztal-Radecka21-1},
  cites = {0},
  citedby = {0},
  pages = {92-105},
  booktitle = {Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings},
  editor = {Ludovico Boratto and Stefano Faralli 0001 and Mirko Marras and Giovanni Stilo},
  volume = {1418},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-78818-6},
}