CoRec: a co-training approach for recommender systems (2018)
- Authors:
- USP affiliated authors: MANZATO, MARCELO GARCIA - ICMC ; CAMPELLO, RICARDO JOSÉ GABRIELLI BARRETO - ICMC
- Unidade: ICMC
- DOI: 10.1145/3167132.3167209
- Subjects: APRENDIZADO COMPUTACIONAL; SISTEMAS DE INFORMAÇÃO; RECONHECIMENTO DE PADRÕES
- Keywords: Co-Training; Recommender Systems; Semi-supervised Learning
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. CoRec: a co-training approach for recommender systems. 2018, Anais.. New York: ACM, 2018. Disponível em: https://doi.org/10.1145/3167132.3167209. Acesso em: 13 nov. 2024. -
APA
Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2018). CoRec: a co-training approach for recommender systems. In Proceedings. New York: ACM. doi:10.1145/3167132.3167209 -
NLM
Costa AF da, Manzato MG, Campello RJGB. CoRec: a co-training approach for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3167132.3167209 -
Vancouver
Costa AF da, Manzato MG, Campello RJGB. CoRec: a co-training approach for recommender systems [Internet]. Proceedings. 2018 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1145/3167132.3167209 - Ensemble clustering approaches applied in group-based collaborative filtering supported by multiple users' feedback
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Informações sobre o DOI: 10.1145/3167132.3167209 (Fonte: oaDOI API)
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