Recommending collaborative filtering algorithms using subsampling landmarkers (2017)
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Discovery Science - DS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
ABNT
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Recommending collaborative filtering algorithms using subsampling landmarkers. 2017, Anais.. Cham: Springer, 2017. p. 189-203. Disponível em: https://doi.org/10.1007/978-3-319-67786-6_14. Acesso em: 02 nov. 2024.APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2017). Recommending collaborative filtering algorithms using subsampling landmarkers. In Lecture Notes in Artificial Intelligence (Vol. 10558, p. 189-203). Cham: Springer. doi:10.1007/978-3-319-67786-6_14NLM
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14