A Health-Awareness Nutrition Recommender System

Abstract

Personalized nutrition has been identified as a relevant way for tackling nowadays several non-communicable diseases like type 2 diabetes, hypertension, and cancer. Keeping in mind personalization, the current contribution is focused on proposing a daily menu recommender system using nutritional knowledge for guaranteeing the suggestion of nutritionally appropriated foods, as well as managing the users’ previous preferences in order to suggest foods preferred in the past. The proposal also incorporates a decision analysis approach based on multiple criteria to screen inappropriate foods. Finally, the contribution includes a case study to evaluate the performance of the proposal.