Presentation 2017-12-23
Relative Visualization Framework for Recipe Retrieval by Using Texture Expressions over User Reviews
Kento Shigyo, Hidenari Kiyomitsu, Kazuhiro Ohtsuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This research aims to provide a visualize method that allows users to intuitively imagine the results of cooking with referring to recipes. In recent recipe retrievals, their users can find some recipes what they want to cook by specifying its ingredients, nutrition facts and using keywords in the description. In this paper, we focus on user’s intentions about “What would it be like when I cook with this recipe?” Fortunately, a review (cooking report) of a recipe shows what happened when another user made the recipe. To evaluate a recipe, we discuss about an aggregation engine that extracts and aggregates texture expressions from large number of reviews of the recipe.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Texture Expression / Recipe Retrieval / Collective Intelligence / Database
Paper # DE2017-38
Date of Issue 2017-12-15 (DE)

Conference Information
Committee DE / IPSJ-DBS
Conference Date 2017/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) National Institute of Informatics
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.) / 森嶋 厚行(筑波大)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Relative Visualization Framework for Recipe Retrieval by Using Texture Expressions over User Reviews
Sub Title (in English)
Keyword(1) Texture Expression
Keyword(2) Recipe Retrieval
Keyword(3) Collective Intelligence
Keyword(4) Database
Keyword(5)
1st Author's Name Kento Shigyo
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Hidenari Kiyomitsu
2nd Author's Affiliation Kobe University(Kobe Univ.)
3rd Author's Name Kazuhiro Ohtsuki
3rd Author's Affiliation Kobe University(Kobe Univ.)
Date 2017-12-23
Paper # DE2017-38
Volume (vol) vol.117
Number (no) DE-374
Page pp.pp.115-120(DE),
#Pages 6
Date of Issue 2017-12-15 (DE)