User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity

UMAP (Adjunct Publication), pp. 93-96, 2017.

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Abstract:

In order to use and model nutritional knowledge in a food recommender system, uncertainties regarding the users nutritional state and thus the personal health value of food items, as well as conflicting nutritional theories need to be quantified, qualified and subsumed into falsifiable models. In this paper, we reflect on different error ...More

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