Estimating nutrition values for internet recipes

Muller, Manuel, Mika, Stefanie, Harvey, Morgan and Elsweiler, David (2012) Estimating nutrition values for internet recipes. In: Pervasive Health 2012: 6th International Conference on Pervasive Computing Technologies for Healthcare, 21 - 24 May 2012, San Diego.

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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.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: lifestyle, health, prevention, recommender systems, demo
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Morgan Harvey
Date Deposited: 27 Apr 2015 12:06
Last Modified: 13 Oct 2019 00:32

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