AN INTELLIGENT APPROACH FOR FOOD RECIPE RATING PREDICTION USING MACHINE LEARNING

Abstract

In recent times, many studies and systems focus on restaurant or individual food ratings, but rating
recipes using Artificial Intelligence remains rare. This study aims to evaluate recipes based on various attributes
using different machine learning algorithms. It compares the performance of different classifiers in rating recipes
according to various performance criteria. This approach can be economically beneficial for restaurants by helping
them improve their recipes and attract more customers. It can also be useful at a personal level to enhance
household recipes and assist customers in choosing restaurants based on the quality of their recipes for specific
dishes.