A Survey on AI Nutrition Recommender Systems


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.

  • T. Theodoridis, V. Solachidis, K. Dimitropoulos, L. Gymnopoulos, P. Daras, "A Survey on AI Nutrition Recommender Systems". In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), Rhodes, Greece, June 05 - 07, 2019. DOI: https://doi.org/10.1145/3316782.3322760

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    Dr. Petros Daras, Research Director
    6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
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