Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features

Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah. Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. 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 1-8, Springer, 2021. [doi]

@inproceedings{FengSLGS21,
  title = {Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features},
  author = {Yunhe Feng and Daniel Saelid and Ke Li and Ruoyuan Gao and Chirag Shah},
  year = {2021},
  doi = {10.1007/978-3-030-78818-6_1},
  url = {https://doi.org/10.1007/978-3-030-78818-6_1},
  researchr = {https://researchr.org/publication/FengSLGS21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  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},
}