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SousChef System for Personalized Meal Recommendations: A Validation Study
| Content Provider | MDPI |
|---|---|
| Author | Ribeiro, David Barbosa, Telmo Ribeiro, Jorge Sousa, Filipe Vieira, Elsa F. Silva, Marlos Silva, Ana |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 702 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app12020702 |
| Journal | Applied Sciences |
| Issue Number | 2 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-11 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Food Recommender Systems Health and Safety Meal Recommender Systems Nutrition Optimization Recommender Systems |
| Content Type | Text |
| Resource Type | Article |
