Exploring author gender in book rating and recommendation

@article{Ekstrand2021ExploringAG,
  title={Exploring author gender in book rating and recommendation},
  author={Michael D. Ekstrand and Daniel Kluver},
  journal={User Model. User Adapt. Interact.},
  year={2021},
  volume={31},
  pages={377-420}
}
Collaborative filtering algorithms find useful patterns in rating and consumption data and exploit these patterns to guide users to good items. Many of these patterns reflect important real-world phenomena driving interactions between the various users and items; other patterns may be irrelevant or reflect undesired discrimination, such as discrimination in publishing or purchasing against authors who are women or ethnic minorities. In this work, we examine the response of collaborative… 
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