Enhancing calibration and reducing popularity bias in recommender systems (2024)
Source: Lecture Notes in Business Information Processing. Conference titles: International Conference on Enterprise Information Systems - ICEIS. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, MÚSICA
ABNT
SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. Enhancing calibration and reducing popularity bias in recommender systems. Lecture Notes in Business Information Processing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64755-0_1. Acesso em: 09 nov. 2024. , 2024APA
Souza, R. F. de, & Manzato, M. G. (2024). Enhancing calibration and reducing popularity bias in recommender systems. Lecture Notes in Business Information Processing. Cham: Springer. doi:10.1007/978-3-031-64755-0_1NLM
Souza RF de, Manzato MG. Enhancing calibration and reducing popularity bias in recommender systems [Internet]. Lecture Notes in Business Information Processing. 2024 ; 519 3-24.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-64755-0_1Vancouver
Souza RF de, Manzato MG. Enhancing calibration and reducing popularity bias in recommender systems [Internet]. Lecture Notes in Business Information Processing. 2024 ; 519 3-24.[citado 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-64755-0_1