Onomatoperori : Ranking Cooking Recipes by using Onomatopoeias which Express their Tastes and Textures

• Watanabe Chiemi

  Graduate School of Systems and Information Engineering, University of Tsukuba

• Nakamura Satoshi

  School of Interdisciplinary Mathematical Sciences, Meiji University, JST CREST

Bibliographic Information

Other Title

• オノマトペロリ：味覚や食感を表すオノマトペによる料理レシピのランキング

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.

Journal

• Transactions of the Japanese Society for Artificial Intelligence

  Transactions of the Japanese Society for Artificial Intelligence 30 (1), 340-352, 2015

  The Japanese Society for Artificial Intelligence

Keywords

• Recipe retrieval
• Ranking algorithm
• Co-occurrence factor
• sentiment search

Details

• CRID: 1390282680084690944
• NII Article ID: 130004927348
• DOI: 10.1527/tjsai.30.340
• ISSN: 13468030
• ISSN: 13460714
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed