A two-stage calibration approach for mitigating bias and fairness in recommender systems (2024)
Souza, Rodrigo Ferrari de 
; Manzato, Marcelo Garcia
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Assunto: SISTEMAS DE RECOMENDAÇÃO
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ABNT
SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. A two-stage calibration approach for mitigating bias and fairness in recommender systems. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636092. Acesso em: 05 nov. 2025.APA
Souza, R. F. de, & Manzato, M. G. (2024). A two-stage calibration approach for mitigating bias and fairness in recommender systems. In Proceedings. New York: ACM. doi:10.1145/3605098.3636092NLM
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636092Vancouver
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636092
