Intelligent food planning: personalized recipe recommendation

Jill Freyne, Shlomo Berkovsky

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

139 Citations (Scopus)

Abstract

As the obesity epidemic takes hold across the world many medical professionals are referring users to online systems aimed at educating and persuading users to alter their lifestyle. The challenge for many of these systems is to increase initial adoption and sustain participation for sufficient time to have real impact on the life of its users. In this work we present some preliminary investigation into the design of a recipe recommender, aimed at educating and sustaining user participation, which makes tailored recommendations of healthy recipes. We concentrate on the two initial dimensions of food recommendations: data capture and food-recipe relationships and present a study into the suitability of varying recommender algorithms for the recommendation of recipes.
Original languageEnglish
Title of host publicationProceedings of the 15th international conference on Intelligent user interfaces, IUI '10
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages321-324
Number of pages4
ISBN (Electronic)9781605585154
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event15th International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China
Duration: 7 Feb 201010 Feb 2010

Conference

Conference15th International Conference on Intelligent User Interfaces, IUI 2010
CountryChina
CityHong Kong
Period7/02/1010/02/10

Keywords

  • Recommender systems
  • personalization
  • food
  • recipe
  • collaborative filtering

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