2019 · 39 citations · 35 references
ComputingNutritionNutritional SciencesArtificial IntelligenceHuman NutritionRecommender SystemsCollaborative FilteringEvaluation Of Recommender SystemsRecommendation SystemsFood Recommendation SystemsNutrition Information SystemsState-of-the-art Review
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.
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