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- IKEJIRI Kyosuke
- Graduate School of Information Systems, The University of Electro-Communications
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- SEI Yuichi
- Graduate School of Information Systems, The University of Electro-Communications
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- NAKAGAWA Hiroyuki
- Graduate School of Information Science and Technology, Osaka University
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- TAHARA Yasuyuki
- Graduate School of Information Systems, The University of Electro-Communications
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- OHSUGA Akihiko
- Graduate School of Information Systems, The University of Electro-Communications
Bibliographic Information
- Other Title
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- 希少性と一般性に基づいた意外性のある食材の抽出
- キショウセイ ト イッパンセイ ニ モトズイタ イガイセイ ノ アル ショクザイ ノ チュウシュツ
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Abstract
Many surprising recipes exist in the user- generated recipe site. The simplest way to find surprising recipe is to use a search function. However, the title of its recipe does not always contain the keyword “surprise”. Thus we cannot find surprising recipes in an easy way. In this paper, we propose a system to extract surprising ingredients as the first step of extracting surprising recipes from the recipe site. We propose RF-IIF (Recipe Frequency-Inverse Ingredient Frequency) based on TF-IDF in our system. RF-IIF calculates a surprising value of the ingredient about the meal based on the generality and the rarity of the ingredient. We extract ingredients whose RF-IIF ranks are in top 20 as surprising ingredients about the meal. Through questionnaires to evaluate the extracted ingredients, we verified the effectiveness of the proposed method which extracts surprising ingredients.
Journal
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- Computer Software
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Computer Software 31 (3), 3_70-3_78, 2014
Japan Society for Software Science and Technology
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Details 詳細情報について
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- CRID
- 1390001204737894912
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- NII Article ID
- 130004691518
- 40020184155
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- NII Book ID
- AN10075819
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- NDL BIB ID
- 025757332
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- ISSN
- 02896540
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed