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

• 渡辺 知恵美

  筑波大学　システム情報系

• 中村 聡史

  明治大学 総合数理学部, JST CREST

書誌事項

タイトル別名

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

抄録

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.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 30 (1), 340-352, 2015

  一般社団法人 人工知能学会

キーワード

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

詳細情報

• CRID: 1390282680084690944
• NII論文ID: 130004927348
• DOI: 10.1527/tjsai.30.340
• ISSN: 13468030
• ISSN: 13460714
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可