6th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Estimating Nutrition Values for Internet Recipes

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248682,
        author={Manuel M\'{y}ller and Stefanie Mika and Morgan Harvey and David Elsweiler},
        title={Estimating Nutrition Values for Internet Recipes},
        proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={7},
        keywords={lifestyle health prevention recommender systems demo},
        doi={10.4108/icst.pervasivehealth.2012.248682}
    }
    
  • Manuel Müller
    Stefanie Mika
    Morgan Harvey
    David Elsweiler
    Year: 2012
    Estimating Nutrition Values for Internet Recipes
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2012.248682
Manuel Müller1, Stefanie Mika1,*, Morgan Harvey1, David Elsweiler2
  • 1: University of Erlangen-Nuremberg
  • 2: University of Regensburg
*Contact email: stefanie.mika@cs.fau.de

Abstract

To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, accurate nutritional data for recipes is needed. Unfortunately, most recipes have no such data or have data of suspect quality. In this demo we present a system that automatically calculates the nutritional value of recipes sourced from the Internet. This is a challenging problem for several reasons, including lack of formulaic structure in ingredient descriptions, ingredient synonymy, brand names, and unspecific quantities being assigned. Our results show that our system can generate nutritional values within a 10% error bound of human assessors for calorie, protein and carbohydrate values. Based on our findings this is smaller than the bound between multiple human assessors.