A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56063-7_36
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4. Boratto, L., Fenu, G., Marras, M.: Interplay between upsampling and regularization for provider fairness in recommender systems. User Model. User Adapt. Interact. 31(3), 421–455 (2021)
5. Dessì, D., Fenu, G., Marras, M., Reforgiato Recupero, D.: COCO: semantic-enriched collection of online courses at scale with experimental use Cases. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds.) Trends and Advances in Information Systems and Technologies, vol. 746, pp. 1386–1396. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-77712-2_133
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