Surprising Recipe Extraction based on Rarity and Generality of Ingredients

Many surprising recipes which have different the ingredients or the cooking processes from the normal recipes exist in the user-generated recipe sites. The easiest way to find surprising recipes is to use the search function of the recipe sites. However, the title of surprising recipes do not always include the keyword “surprise”. Therefore, we cannot find surprising recipes in an easy way. In this paper, we propose a method to extract surprising recipes from the user-generated recipe sites. We propose RF-IIF (Recipe Frequency-Inverse Ingredient Frequency) based on TF-IDF (Term Frequency-Inverse Ingredient Frequency). First, we calculate the surprising value of the ingredients by using RF-IIF. Then, we calculate the surprising value of each recipe by summing the surprising value of the ingredients appearing in a recipe. Finally, we extract recipes which have high surprising value of the recipe as surprising recipes of the dish category. In the evaluation experiment, the subjects were requested an evaluation about each surprising recipe. As a results, we showed that the extracted recipes were valid recipe and had the element of surprise. And, we showed the usefulness of the our proposed method.

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