Fonte: International Journal of Environmental Research and Public Health. Unidades: HU, FM
Assuntos: SISTEMAS DE RECOMENDAÇÃO, DIETA, ALGORITMOS
ABNT
SILVA, Vanderlei Carneiro da et al. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study. International Journal of Environmental Research and Public Health, v. no 2022, n. 22, p. 14934, 2022Tradução . . Disponível em: https://doi.org/10.3390/ijerph192214934. Acesso em: 25 ago. 2024.APA
Silva, V. C. da, Gorgulho, B., Marchioni, D. M. L., Alvim, S. M., Giatti, L., Araujo, T. A. de, et al. (2022). Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study. International Journal of Environmental Research and Public Health, no 2022( 22), 14934. doi:10.3390/ijerph192214934NLM
Silva VC da, Gorgulho B, Marchioni DML, Alvim SM, Giatti L, Araujo TA de, Alonso AC, Santos I de S, Lotufo PA, Benseñor IJM. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study [Internet]. International Journal of Environmental Research and Public Health. 2022 ; no 2022( 22): 14934.[citado 2024 ago. 25 ] Available from: https://doi.org/10.3390/ijerph192214934Vancouver
Silva VC da, Gorgulho B, Marchioni DML, Alvim SM, Giatti L, Araujo TA de, Alonso AC, Santos I de S, Lotufo PA, Benseñor IJM. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study [Internet]. International Journal of Environmental Research and Public Health. 2022 ; no 2022( 22): 14934.[citado 2024 ago. 25 ] Available from: https://doi.org/10.3390/ijerph192214934