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http://dx.doi.org/10.5392/JKCA.2016.16.08.160

Analyzing the Difficulty and Similarity of Cooking in the Recipe Network  

Kim, Su-Do (부산대학교 사회급변현상연구소)
Lee, Yun-Jung (부산대학교 사회급변현상연구소)
Yoon, Seong-Min (부산대학교 경제학부)
Cho, Hwan-Gue (부산대학교 정보컴퓨터공학부)
Publication Information
The Journal of the Korea Contents Association / v.16, no.8, 2016 , pp. 160-168 More about this Journal
Abstract
The classification and evaluation of cooking that is being published on the internet are presented without scientific criteria based on individual subjective factors. In this paper, we objectified the degree of cooking difficulty based on the information entropy. And we measured the similarity by calculating the common entropy between recipes and constructed a social network based on the recipe similarity. As a result of measuring the cooking difficulty, 'Dongtae Haemul-jjim' (Korean) and 'Vegetarian Lasagna' (Italy) are the most difficult recipes and 'Gochu-jang' (Korean) and 'Tofu steak' (Italy) are the easiest recipes. Through the recipe network, the similarity between Korean and Asian cooking is higher than Western cuisine. We showed a similar recipe to a particular cooking, the group of similar recipes, and reasonable schedule when preparing the menu from the viewpoint of ease of cooking.
Keywords
Recipe; Ingredient; Cooking Verb; Entropy; Recipe Difficulty; Recipe Network;
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