User Nutrition Modelling and Recommendation

Schäfer, Hanna, Elahi, Mehdi, Elsweiler, David, Groh, Georg, Harvey, Morgan, Ludwig, Bernd, Ricci, Francesco and Said, Alan (2017) User Nutrition Modelling and Recommendation. In: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17. Association for Computing Machinery, New York, pp. 93-96. ISBN 9781450350679

Full text not available from this repository.
Official URL: https://doi.org/10.1145/3099023.3099108

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 sources with respect to nutrition and consider how such issues can be tackled in future systems. We discuss the integration of general nutritional theories into information systems as well as user specific nutritional measures and different approaches to evaluating the utility of a given nutritional model.

Item Type: Book Section
Subjects: B800 Medical Technology
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Ay Okpokam
Date Deposited: 22 Aug 2017 11:47
Last Modified: 22 Aug 2017 11:47
URI: http://nrl.northumbria.ac.uk/id/eprint/31638

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