Exploring Chinese Dietary Habits Using Recipes Extracted From Websites.

IEEE ACCESS(2019)

引用 3|浏览14
暂无评分
摘要
As more and more cooking recipes are published on the websites by people from different regions, it becomes available to explore the dietary habit of different regions by analyzing their recipes. As a big country owning 32 provinces and autonomous regions, China has generated a series of different cuisines. In this paper, we explore the dietary habits of Chinese by analyzing recipes of different Chinese cuisines. We collected more than 14 000 cooking recipes for the 20 different Chinese cuisines from the food-focused website. Our investigation is divided into six perspectives, including the diversity of ingredients, the manifest ingredients, the complexity of cooking, the similarity of dishes, and the dietetic therapy. By the study of recipes with Chinese cuisines, we find strong geographical effects of recipes from different Chinese cuisines. In order to help people understand Chinese habitual collocation of ingredients, we use the Apriori algorithm to find frequent itemsets. Finally, we propose a content-based online recipe recommendation engine to bring some suggestions for people. We believe that our study is helpful to get a deep insight into Chinese dietary culture.
更多
查看译文
关键词
Dietary habits,Apriori,frequent itemset mining,content-based recommendation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要