Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective

Jessie J. Smith, Lex Beattie, Henriette Cramer. Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective. In Ying Ding 0001, Jie Tang 0001, Juan F. Sequeda, Lora Aroyo, Carlos Castillo 0001, Geert-Jan Houben, editors, Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023. pages 3648-3659, ACM, 2023. [doi]

@inproceedings{SmithBC23,
  title = {Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective},
  author = {Jessie J. Smith and Lex Beattie and Henriette Cramer},
  year = {2023},
  doi = {10.1145/3543507.3583204},
  url = {https://doi.org/10.1145/3543507.3583204},
  researchr = {https://researchr.org/publication/SmithBC23},
  cites = {0},
  citedby = {0},
  pages = {3648-3659},
  booktitle = {Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023- 4 May 2023},
  editor = {Ying Ding 0001 and Jie Tang 0001 and Juan F. Sequeda and Lora Aroyo and Carlos Castillo 0001 and Geert-Jan Houben},
  publisher = {ACM},
  isbn = {978-1-4503-9416-1},
}