User Nutrition Modelling and Recommendation

Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17
EditorsMarko Tkalcic, Dhaval Thakker, Panagiotis Germanakos, Kalina Yacef, Cecile Paris, Olgo Santos
Place of PublicationNew York
PublisherACM
Pages93-96
ISBN (Print)9781450350679
DOIs
Publication statusPublished - 9 Jul 2017
EventUMAP '17: 25th Conference on User Modeling, Adaptation and Personalization - Bratislava, Slovakia
Duration: 9 Jul 2017 → …

Conference

ConferenceUMAP '17: 25th Conference on User Modeling, Adaptation and Personalization
Period9/07/17 → …

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