Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/75694


Title: Intelligent menu planning: Recommending set of recipes by ingredients
Authors: Kuo, F.-F.;Li, C.-T.;Shan, Man-Kwan
沈錳坤
Contributors: 資科系
Keywords: Co-occurrence;Cooking recipe;Graph-based;Ingredient;Recipe recommendation;Recommendation mechanism;Steiner trees;Forestry;Research;Trees (mathematics);Cooking;Forestry;Mathematics;Research;Trees;ACM Multimedia 2012
Date: 2012
Issue Date: 2015-06-11 14:25:02 (UTC+8)
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. © 2012 ACM.
Relation: CEA 2012 - Proceedings of the 2012 ACM Workshop on Multimedia for Cooking and Eating Activities, Co-located with ACM Multimedia 20124th Workshop on Multimedia for Cooking and Eating Activities, CEA 2012; Nara; Japan; 2 November 2012 through 2 November 2012; Code 94174
Data Type: conference
DOI 連結: http://dx.doi.org/10.1145/2390776.2390778
Appears in Collections:[資訊科學系] 會議論文

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