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題名 Automatic recipe cuisine classification by ingredients
作者 Su, Han;Lin, Ting Wei;Li, C.-T.;Shan, Man-Kwan;Chang, J.
沈錳坤
貢獻者 資科系
關鍵詞 Ubiquitous computing; Associative classification; Classification technique; Cooking recipe; Cuisine; Ingredient; Recipe; Recommendation; Recommendation mechanism; Cooking
日期 2014-10
上傳時間 16-Jun-2015 15:57:27 (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. While most food related research has been on recipe recommendation, little effort has been done on analyzing the correlation between recipe cuisines and ingredients. In this paper, we aim to investigate the underlying cuisineingredient connections by exploiting the classification techniques, including associative classification and support vector machine. Our study conducted on food.com data provides insights about which cuisines are the most similar and what are the essential ingredients for a cuisine, with an application to automatic cuisine labeling for recipes. Copyright 2014 ACM.
關聯 UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014, Pages 565-570, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014; Seattle; United States; 13 September 2014 到 17 September 2014; 代碼 114605
資料類型 conference
DOI http://dx.doi.org/10.1145/2638728.2641335
dc.contributor 資科系
dc.creator (作者) Su, Han;Lin, Ting Wei;Li, C.-T.;Shan, Man-Kwan;Chang, J.
dc.creator (作者) 沈錳坤zh_TW
dc.date (日期) 2014-10
dc.date.accessioned 16-Jun-2015 15:57:27 (UTC+8)-
dc.date.available 16-Jun-2015 15:57:27 (UTC+8)-
dc.date.issued (上傳時間) 16-Jun-2015 15:57:27 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75852-
dc.description.abstract (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. While most food related research has been on recipe recommendation, little effort has been done on analyzing the correlation between recipe cuisines and ingredients. In this paper, we aim to investigate the underlying cuisineingredient connections by exploiting the classification techniques, including associative classification and support vector machine. Our study conducted on food.com data provides insights about which cuisines are the most similar and what are the essential ingredients for a cuisine, with an application to automatic cuisine labeling for recipes. Copyright 2014 ACM.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014, Pages 565-570, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014; Seattle; United States; 13 September 2014 到 17 September 2014; 代碼 114605
dc.subject (關鍵詞) Ubiquitous computing; Associative classification; Classification technique; Cooking recipe; Cuisine; Ingredient; Recipe; Recommendation; Recommendation mechanism; Cooking
dc.title (題名) Automatic recipe cuisine classification by ingredients
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1145/2638728.2641335
dc.doi.uri (DOI) http://dx.doi.org/10.1145/2638728.2641335