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Authors
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T. Theodoridis |
| V. Solachidis | |
| K. Dimitropoulos | |
| L. Gymnopoulos | |
| P. Daras | |
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Year
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2019 |
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Venue
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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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Download
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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.