IYASHI Recipe: Cooking Recipe Recommendation for Healing based on Physical Conditions and Human Relations

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Abstract

In this paper, we propose a recipe recommendation method that can heal both the provider and the recipient of food. In particular, we focus on the motivation of recipe contributors, and propose a recipe recommendation method that can heal both parties by considering not only the recipe procedure but also the relationship between the provider and the recipient, and their health conditions. Specifically, we extract feature words by learning from the items in the recipe data that contain a lot of information other than the cooking procedure, such as "title," "introduction of the recipe," "one-point information," and "trigger." In addition, each item of the recipe is analyzed for sentiment, and ranked based on the extracted feature words and sentiment values of the physical condition and relationship. We validate the usefulness of the proposed method by evaluating the relationship and physical condition feature words extracted by the proposed method and by evaluating the recipe ranking using Rakuten's recipe data.

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