TY - GEN
T1 - User nutrition modelling and recommendation - Balancing simplicity and complexity
AU - Schäfer, Hanna
AU - Elahi, Mehdi
AU - Elsweiler, David
AU - Groh, Georg
AU - Harvey, Morgan
AU - Ludwig, Bernd
AU - Ricci, Francesco
AU - Said, Alan
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/7/9
Y1 - 2017/7/9
N2 - 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.
AB - 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.
KW - Health informatics
KW - Nutrition modeling
KW - Nutrition recommender systems
KW - Online nutrition interventions
KW - Patient modeling
UR - http://www.scopus.com/inward/record.url?scp=85026867002&partnerID=8YFLogxK
U2 - 10.1145/3099023.3099108
DO - 10.1145/3099023.3099108
M3 - Conference contribution
AN - SCOPUS:85026867002
T3 - UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
SP - 93
EP - 96
BT - UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
PB - Association for Computing Machinery, Inc
T2 - 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017
Y2 - 9 July 2017 through 12 July 2017
ER -