The multisided complexity of fairness in recommender systems

  title={The multisided complexity of fairness in recommender systems},
  author={Nasim Sonboli and Robin D. Burke and Michael D. Ekstrand and Rishabh Mehrotra},
  journal={AI Magazine},
Recommender systems are poised at the interface between stakeholders: for example, job applicants and employers in the case of recommendations of employment listings, or artists and listeners in the case of music recommendation. In such multisided platforms, recommender systems play a key role in enabling discovery of products and information at large scales. However, as they have become more and more pervasive in society, the equitable distribution of their benefits and harms have been… 

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