A Survey on AI Nutrition Recommender Systems

Authors
T. Theodoridis
V. Solachidis
K. Dimitropoulos
L. Gymnopoulos
P. Daras
Year
2019
Venue
In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), Rhodes, Greece, June 05 - 07, 2019.
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Abstract

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.