Modelo Inteligente Para La Recomendación Del Consumo de Alimentos En Adultos

This doctoral thesis addresses the problems that exist in relation to poor nutrition and the health consequences that this entails. Its development is based on the generation of a healthy food recommendation algorithm. Recommendation algorithms (AR) are defined as a system that produces a recommendation based on an analysis of user preferences and needs, and in the field of food, a tool for decision support when receiving a recommendation and providing knowledge. basic for making decisions when consuming food. In this sense, due to the importance of taking into account the health conditions of the user, their preferences, culture, and lifestyle, this work aims to develop an AR of healthy foods that is a tool to support decision-making decisions.