Presentation 2017-12-22
Researches on music recommendation based on directions of recipes
Jie Zhou, Hidenari Kiyomitu, Kento Shigyo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we aim to propose a method to recommend music based on directions of recipes. We carried out an investigation of cooking workload to understand what kind of music features will match to the cooking workload. By analyzing the hardness of ingredients and difficulty of cooking actions, we propose to extract the workload of each cooking procedures and match it with certain music features. In addition, to recommend music which matches the theme of recipes like holidays, we also focus on finding the keyword of a recipe.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Recipe / Text Analytic / Music Recommendation
Paper # DE2017-28
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) Researches on music recommendation based on directions of recipes
Sub Title (in English)
Keyword(1) Recipe
Keyword(2) Text Analytic
Keyword(3) Music Recommendation
1st Author's Name Jie Zhou
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Hidenari Kiyomitu
2nd Author's Affiliation Kobe University(Kobe Univ.)
3rd Author's Name Kento Shigyo
3rd Author's Affiliation Kobe University(Kobe Univ.)
Date 2017-12-22
Paper # DE2017-28
Volume (vol) vol.117
Number (no) DE-374
Page pp.pp.35-39(DE),
#Pages 5
Date of Issue 2017-12-15 (DE)