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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Elsweiler, David; Harvey, Morgan (2015)
Languages: English
Types: Unknown
Subjects: G500, G400

Classified by OpenAIRE into

mesheuropmc: digestive, oral, and skin physiology
Food recommenders have been touted as a useful tool to help people achieve a healthy diet. Here we incorporate nutrition into the recommender problem by examining the feasibility of algorithmically creating daily meal plans for a sample of user profiles (n=100), combined with a diverse set of food preference data (n=64) collected in a natural setting. Our analyses demonstrate it is possible to recommend plans for a large percentage of users which meet the guidelines set out by international health agencies.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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