Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems

Behnoush Abdollahi, Olfa Nasraoui. Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems. In Jianlong Zhou, Fang Chen, editors, Human and Machine Learning - Visible, Explainable, Trustworthy and Transparent. Human-Computer Interaction Series, pages 21-35, Springer, 2018. [doi]

@incollection{AbdollahiN18,
  title = {Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems},
  author = {Behnoush Abdollahi and Olfa Nasraoui},
  year = {2018},
  doi = {10.1007/978-3-319-90403-0_2},
  url = {https://doi.org/10.1007/978-3-319-90403-0_2},
  researchr = {https://researchr.org/publication/AbdollahiN18},
  cites = {0},
  citedby = {0},
  pages = {21-35},
  booktitle = {Human and Machine Learning - Visible, Explainable, Trustworthy and Transparent},
  editor = {Jianlong Zhou and Fang Chen},
  series = {Human-Computer Interaction Series},
  publisher = {Springer},
  isbn = {978-3-319-90403-0},
}