Publication
SousChef System for Personalized Meal Recommendations: A Validation Study
dc.contributor.author | Ribeiro, David | |
dc.contributor.author | Barbosa, Telmo | |
dc.contributor.author | Ribeiro, Jorge | |
dc.contributor.author | Sousa, Filipe | |
dc.contributor.author | Vieira, Elsa F. | |
dc.contributor.author | Silva, Marlos | |
dc.contributor.author | Silva, Ana | |
dc.date.accessioned | 2023-01-24T11:32:36Z | |
dc.date.available | 2023-01-24T11:32:36Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Nutrition 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.sponsorship | The 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.3390/app12020702 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/21817 | |
dc.language.iso | eng | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | Not Available | |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/12/2/702 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Food recommender systems | pt_PT |
dc.subject | Health and safety | pt_PT |
dc.subject | Meal recommender systems | pt_PT |
dc.subject | Nutrition | pt_PT |
dc.subject | Optimization | pt_PT |
dc.subject | Recommender systems | pt_PT |
dc.title | SousChef System for Personalized Meal Recommendations: A Validation Study | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Not Available | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND%2F03988%2F2018%2FCP1545%2FCT0006/PT | |
oaire.citation.issue | 2 | pt_PT |
oaire.citation.startPage | 702 | pt_PT |
oaire.citation.title | Applied Sciences | pt_PT |
oaire.citation.volume | 12 | pt_PT |
oaire.fundingStream | CEEC IND 2018 | |
person.familyName | elsa | |
person.givenName | vieira | |
person.identifier.ciencia-id | D41C-E7B7-92F1 | |
person.identifier.orcid | 0000-0003-0301-6182 | |
person.identifier.rid | O-6135-2016 | |
person.identifier.scopus-author-id | 24167217900 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 33d008c0-bcff-4d0e-8386-a41af9166bb7 | |
relation.isAuthorOfPublication.latestForDiscovery | 33d008c0-bcff-4d0e-8386-a41af9166bb7 | |
relation.isProjectOfPublication | 18369c28-b300-4bd4-9444-a9d8bcb0091c | |
relation.isProjectOfPublication.latestForDiscovery | 18369c28-b300-4bd4-9444-a9d8bcb0091c |