Corpus ID: 219530813

Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems

@article{Boratto2020InterplayBU,
  title={Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems},
  author={Ludovico Boratto and Gianni Fenu and Mirko Marras},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.04279}
}
  • Ludovico Boratto, Gianni Fenu, Mirko Marras
  • Published 2020
  • Computer Science
  • ArXiv
  • Considering the impact of recommendations on item providers is one of the duties of multi-sided recommender systems. Item providers are key stakeholders in online platforms, and their earnings and plans are influenced by the exposure their items receive in recommended lists. Prior work showed that certain minority groups of providers, characterized by a common sensitive attribute (e.g., gender or race), are being disproportionately affected by indirect and unintentional discrimination. Existing… CONTINUE READING

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