Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study (2022)
- Authors:
- USP affiliated authors: SANTOS, ITAMAR DE SOUZA - HU ; LOTUFO, PAULO ANDRADE - FM ; BENSEÑOR, ISABELA JUDITH MARTINS - FM ; SILVA, VANDERLEI CARNEIRO DA - HU
- Unidades: HU; FM
- DOI: 10.3390/ijerph192214934
- Subjects: SISTEMAS DE RECOMENDAÇÃO; DIETA; ALGORITMOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Environmental Research and Public Health
- ISSN: 1661-7827
- Volume/Número/Paginação/Ano: v. 19, n. 22, p. 14934, nov. 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 14 fev. 2026. -
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/ijerph192214934 -
NLM
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 2026 fev. 14 ] Available from: https://doi.org/10.3390/ijerph192214934 -
Vancouver
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 2026 fev. 14 ] Available from: https://doi.org/10.3390/ijerph192214934 - Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016
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Informações sobre o DOI: 10.3390/ijerph192214934 (Fonte: oaDOI API)
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