Ingredient matching to determine the nutritional properties of Internet-sourced recipes

Muller, Manuel, Harvey, Morgan, Elsweiler, David and Mika, Stefanie (2012) Ingredient matching to determine the nutritional properties of Internet-sourced recipes. In: 6th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2012 and Workshops, May 21st - 24th, 2012, San Diego, CA.

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Official URL: http://dx.doi.org/10.4108/icst.pervasivehealth.201...

Abstract

To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, it is important to have accurate nutritional data for recipes. Unfortunately, most online recipes have no such data available or have data of suspect quality. In this paper 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. We present a system that exploits linguistic properties of ingredient descriptions and nutritional knowledge modelled as rules to estimate the nutritional content of recipes. We evaluate the system on a large Internet sourced recipe database (23.5k recipes) and examine performance in terms of ability to recognise ingredients and error in nutritional values against values established by human experts. Our results show that our system can match all of the ingredients for 91% of recipes in the collection and generate nutritional values within a 10% error bound from human assessors for calorie, protein and carbohydrate values. We show that the error is less than that between multiple human assessors and also less than the error reported for different standard measures of estimating nutritional intake.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Health, Lifestyle, Prevention, Recommender Systems
Subjects: B400 Nutrition
B800 Medical Technology
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 15:11
Last Modified: 10 Aug 2015 11:13
URI: http://nrl.northumbria.ac.uk/id/eprint/22226

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