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    题名: Intelligent menu planning: Recommending set of recipes by ingredients
    作者: Kuo, F.-F.;Li, C.-T.;Shan, Man-Kwan
    沈錳坤
    贡献者: 資科系
    关键词: 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
    日期: 2012
    上传时间: 2015-06-11 14:25:02 (UTC+8)
    摘要: 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.
    關聯: 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
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1145/2390776.2390778
    DOI: 10.1145/2390776.2390778
    显示于类别:[資訊科學系] 會議論文

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