A Survey on AI Nutrition Recommender Systems

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.


  • 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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    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras@iti.gr