• Corpus ID: 239016061

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

@article{Neophytou2021RevisitingPA,
  title={Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness},
  author={Nicola Neophytou and Bhaskar Mitra and Catherine Stinson},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.08353}
}
Recommendation algorithms are susceptible to popularity bias: a tendency to recommend popular items even when they fail to meet user needs. A related issue is that the recommendation quality can vary by demographic groups. Marginalized groups or groups that are under-represented in the training data may receive less relevant recommendations from these algorithms compared to others. In a recent study, Ekstrand et al. [15] investigate how recommender performance varies according to popularity and… 

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References

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