Towards a new healthy food decision-making system

Latterly, food recommendation systems have received high attention due to their importance healthy living. On the domain, most studies focus on recommendations that suggest products for each user based profiles. These types of recommender offer additional functionality persuade users change buying behavior profitably. However, these must highlight health preferences and problems be adequately taken into account. In this work, (RS) are our interest study more specifically using content-based filtering. We represented content by product composition. Our goal was provide a consumers or citizens around world, especially at time when disease abounds. Thus, we developed new system (HRS). paper, present process individuals in area eating. Furthermore, analyze existing state art techniques implement an algorithm responds with very satisfactory results from beginning, conclude discuss research challenges related development kind HRS.