Towards Automatic Meal Plan Recommendations for Balanced Nutrition

David Elsweiler, Morgan Harvey

Research output: Contribution to conferencePaperpeer-review

33 Citations (Scopus)
34 Downloads (Pure)

Abstract

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.
Original languageEnglish
Publication statusPublished - Sep 2015
Event9th ACM Conference on Recommender Systems (RecSys) - Vienna, Austria
Duration: 1 Sep 2015 → …
http://recsys.acm.org/recsys15/

Conference

Conference9th ACM Conference on Recommender Systems (RecSys)
Period1/09/15 → …
Internet address

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