Intelligent menu planning: Recommending set of recipes by ingredients

Fang Fei Kuo, Cheng Te Li, Man Kwan Shan, Suh Yin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

Abstract

With the growth of recipe sharing services, online cooking recipes associated with ingredients and cooking procedures are available. Many recipe sharing sites have devoted to the development of recipe recommendation mechanism. However, there is a need for users to plan menu of meals by ingredients. While most research on food related research has been on recipe recommendation and retrieval, little research has been done on menu planning. In this paper, we investigate an intelligent menu planning mechanism which recommending sets of recipes by user-specified ingredients. Those recipes which are well-accompanied and contain the query ingredients are returned. We propose a graph-based algorithm for menu planning. The proposed approach constructs a recipe graph to capture the co-occurrence relationships between recipes from collection of menus. A menu is generated by approximate Steiner Tree Algorithm on the constructed recipe graph. Evaluation of menu collections from Food.com shows that the proposed approach achieves encouraging results.

Original languageEnglish
Title of host publicationCEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 2012
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 10
EventACM Multimedia 2012 4th Workshop on Multimedia for Cooking and Eating Activities, CEA 2012 - Nara, Japan
Duration: 2012 Nov 22012 Nov 2

Publication series

NameCEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 2012

Other

OtherACM Multimedia 2012 4th Workshop on Multimedia for Cooking and Eating Activities, CEA 2012
CountryJapan
CityNara
Period12-11-0212-11-02

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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