A survey on AI nutrition recommender systems
Thomas Theodoridis, V. Solachidis, Kosmas Dimitropoulos, Lazaros P. Gymnopoulos, Petros Daras · 2019
The goal of this work is to provide an overview of existing approaches regarding AI nutrition recommender systems. A breakdown of such systems into task-specific components is presented, as well as methodologies concerned with each individual component. The components of an idealized AI nutrition recommender system are presented and compared to state-of-the-art approaches in the corresponding area of research. Finally identified issues in some of these areas are also discussed.