Onomatoperori: Ranking cooking recipes by using onomatopoeias which express their tastes and textures

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Abstract

This paper proposes a ranking methodology of cooking recipe by using fitness value between a recipe and onomatopoeia. This system is implemented as a function of a cooking recipe search site“ Onomatoperori ”. By using onomatopoeia, users can find what they want to cook from their ambiguous idea. We defined formulas for calculating fitness value between recipe and onomatopoeia by using mutual information between onomatopoeia and a word in title or description of recipes. In addition, we defined the similarity measure between onomatopeia words by mapping their words by using 15 sentimental dimensions for expressing the tastes and textures of the dishes. And we improve the ranking methodology by using the similarity among onomatopoeia words. By using these ranking methodologies we can search the cooking recipes which are related to the onomatopoeia although they do not include the onomatopeia word in the recipes.

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Watanabe, C., & Nakamura, S. (2015). Onomatoperori: Ranking cooking recipes by using onomatopoeias which express their tastes and textures. Transactions of the Japanese Society for Artificial Intelligence, 30(1), 340–352. https://doi.org/10.1527/tjsai.30.340

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