Do Good Recipes Need Butter ? Predicting User Ratings of Online Recipes

In this work, we investigated the automatic prediction of user ratings for recipes. Information including the ingredients, the instructions, and the reviews from Epicurious were fed into a machine learner, a multi-class support vector machine, to examine how reliable they are when predicting recipe ratings. Our results show that information from the reviews results in the most reliable predictions: we reached an accuracy of 62%. The problem is difficult, partly because of the skewing of the ratings: most recipes are rated with 3 or 4 out of 4 forks.

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