F2VAE: a framework for mitigating user unfairness in recommendation systems

Rodrigo Borges, Kostas Stefanidis. F2VAE: a framework for mitigating user unfairness in recommendation systems. In Jiman Hong, Miroslav Bures, Juw Won Park, Tomás Cerný, editors, SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022. pages 1391-1398, ACM, 2022. [doi]

@inproceedings{BorgesS22-0,
  title = {F2VAE: a framework for mitigating user unfairness in recommendation systems},
  author = {Rodrigo Borges and Kostas Stefanidis},
  year = {2022},
  doi = {10.1145/3477314.3507152},
  url = {https://doi.org/10.1145/3477314.3507152},
  researchr = {https://researchr.org/publication/BorgesS22-0},
  cites = {0},
  citedby = {0},
  pages = {1391-1398},
  booktitle = {SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022},
  editor = {Jiman Hong and Miroslav Bures and Juw Won Park and Tomás Cerný},
  publisher = {ACM},
  isbn = {978-1-4503-8713-2},
}