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SousChef System for Personalized Meal Recommendations: A Validation Study

dc.contributor.authorRibeiro, David
dc.contributor.authorBarbosa, Telmo
dc.contributor.authorRibeiro, Jorge
dc.contributor.authorSousa, Filipe
dc.contributor.authorVieira, Elsa F.
dc.contributor.authorSilva, Marlos
dc.contributor.authorSilva, Ana
dc.date.accessioned2023-01-24T11:32:36Z
dc.date.available2023-01-24T11:32:36Z
dc.date.issued2022
dc.description.abstractNutrition is an essential part of our life. A healthy diet can help to prevent several chronic diseases like diabetes, obesity, cancer, and cardiovascular diseases, being influenced by social, cultural, and economic factors. Meal recommender systems are a trend to assist people in finding new recipes to cook and adopt healthier eating habits. However, food choice is complex and driven by multiple factors which need to be reflected in the personalization process of these systems to ensure their adoption. We present SousChef, a meal recommender system that can help to plan multiple meals considering an individual’s food preferences, restrictions, and nutritional needs. Our approach uses recipes rather than individual food items, limiting recommendations to tasteful and culturally acceptable food combinations. Several experiments were performed to evaluate the system from different perspectives: nutritional, food preferences, and restrictions, and the recommendations’ variability. Our results highlight the importance of using extensive and diverse content in recommendations to meet food preferences, restrictions, and nutritional needs of people with different characteristics.pt_PT
dc.description.sponsorshipThe authors would like to acknowledge the financial support obtained from the project Future Yämmi, co-funded by Compete 2020, Lisboa 2020, Portugal 2020 and the European Union, through the European Regional Development Fund (FEDER). Elsa F. Vieira (Ref CEECIND/03988/2018) thanks FCT (Fundação para a Ciência e Tecnologia) for funding through the Individual Call to Scientific Employment Stimulus, and to REQUIMTE/LAQV.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/app12020702pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/21817
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationNot Available
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/12/2/702pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectFood recommender systemspt_PT
dc.subjectHealth and safetypt_PT
dc.subjectMeal recommender systemspt_PT
dc.subjectNutritionpt_PT
dc.subjectOptimizationpt_PT
dc.subjectRecommender systemspt_PT
dc.titleSousChef System for Personalized Meal Recommendations: A Validation Studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND%2F03988%2F2018%2FCP1545%2FCT0006/PT
oaire.citation.issue2pt_PT
oaire.citation.startPage702pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume12pt_PT
oaire.fundingStreamCEEC IND 2018
person.familyNameelsa
person.givenNamevieira
person.identifier.ciencia-idD41C-E7B7-92F1
person.identifier.orcid0000-0003-0301-6182
person.identifier.ridO-6135-2016
person.identifier.scopus-author-id24167217900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication33d008c0-bcff-4d0e-8386-a41af9166bb7
relation.isAuthorOfPublication.latestForDiscovery33d008c0-bcff-4d0e-8386-a41af9166bb7
relation.isProjectOfPublication18369c28-b300-4bd4-9444-a9d8bcb0091c
relation.isProjectOfPublication.latestForDiscovery18369c28-b300-4bd4-9444-a9d8bcb0091c

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