Automatic recipe cuisine classification by ingredients

Han Su, Ting Wei Lin, Cheng Te Li, Man Kwan Shan, Janet Chang

研究成果: Conference contribution

16 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
發行者Association for Computing Machinery, Inc
頁面565-570
頁數6
ISBN(電子)9781450330473
DOIs
出版狀態Published - 2014
事件2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
持續時間: 2014 九月 132014 九月 17

出版系列

名字UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
國家/地區United States
城市Seattle
期間14-09-1314-09-17

All Science Journal Classification (ASJC) codes

  • 軟體

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