Recommender System Based on Collaborative Filtering for Personalized Dietary Advice: A Cross-Sectional Analysis of the ELSA-Brasil Study

This study aimed to predict dietary recommendations and compare the performance of algorithms based on collaborative filtering for making predictions of personalized dietary recommendations. We analyzed the baseline cross-sectional data (2008–2010) of 12,667 participants of the Brazilian Longitudina...

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Detalles Bibliográficos
Autores principales: Silva, Vanderlei Carneiro, Gorgulho, Bartira, Marchioni, Dirce Maria, Alvim, Sheila Maria, Giatti, Luana, de Araujo, Tânia Aparecida, Alonso, Angelica Castilho, Santos, Itamar de Souza, Lotufo, Paulo Andrade, Benseñor, Isabela Martins
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690822/
https://www.ncbi.nlm.nih.gov/pubmed/36429651
http://dx.doi.org/10.3390/ijerph192214934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690822/
https://www.ncbi.nlm.nih.gov/pubmed/36429651
http://dx.doi.org/10.3390/ijerph192214934

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