Recommendation of Indian Cuisine Recipes Based on Ingredients

Nilesh Nilesh, Madhu Kumari, Pritom Hazarika, Vishal Raman
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引用次数: 11

Abstract

there are lots of varieties of Indian cuisine available with same ingredients. In India, Traditional cuisines consist of wide varieties due to locally available spices, herbs, vegetables, and fruits. In this paper, we purposed a method that recommends recipes of Indian cuisine on the basis of available ingredients and liked cuisine. For this work, we did web scraping to make a collection of recipes' varieties and after that apply the content-based approach of machine learning to recommend the recipes. This system gives the recommendation of Indian Cuisines based on ingredients.
基于食材的印度菜食谱推荐
有很多种类的印度菜都有相同的食材。在印度,由于当地可用的香料,草药,蔬菜和水果,传统美食包括多种多样。在本文中,我们提出了一种方法,即根据可用的食材和喜欢的菜肴来推荐印度菜的食谱。在这项工作中,我们做了网络抓取来收集食谱的品种,然后应用基于内容的机器学习方法来推荐食谱。这个系统根据食材推荐印度菜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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