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Springer Nature Switzerland
Reference47 articles.
1. Barkan, O., Hirsch, R., Katz, O., Caciularu, A., Koenigstein, N.: Anchor-based collaborative filtering. In: Proceedings of the CIKM (2021)
2. Barocas, S., Hardt, M., Narayanan, A.: Fairness and Machine Learning: Limitations and Opportunities. MIT Press (2023)
3. Begley, T., Schwedes, T., Frye, C., Feige, I.: Explainability for fair machine learning. arXiv preprint arXiv:2010.07389 (2020)
4. Beigi, G., Mosallanezhad, A., Guo, R., Alvari, H., Nou, A., Liu, H.: Privacy-aware recommendation with private-attribute protection using adversarial learning. In: Proceedings of the WSDM (2020)
5. Beutel, A., et al.: Fairness in recommendation ranking through pairwise comparisons. In: Proceedings of the KDD (2019)