SousChef System for Personalized Meal Recommendations: A Validation Study
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Recommender Systems and Techniques · Nutritional Studies and Diet · Diet and metabolism studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal
REQUIMTE/LAQV, Institute of Engineering of Porto, Polytechnic Institute of Porto, 4249-015 Porto, Portugal
Sonae MC Serviços Partilhados, 4470-177 Maia, Portugal
Funding
Agencia de Inovacao · Fundação para a Ciência e Tecnologia
References (28)
Show source-provided references
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