Presentation 2017-06-01
Prediction of individual food preferences using food recordings
Akihiro Tsubakida, Sosuke Amano, Kiyoharu Aizawa, Makoto Ogawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to maintain and improve health from the view point of eating, it is necessary to grasp the individual food preferences and to recommend appropriate meals. For that purpose, long-term food recordings is necessary. However, it is not easy to continuously record a meal. In my study, we predict individual food preferences by applying Matrix Factorization etc. to the FoodLog data. We show how much food preferences can be grasped using short-term food recordings.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) food preference / prediction / short term
Paper # MVE2017-8
Date of Issue 2017-05-25 (MVE)

Conference Information
Committee MVE / ITE-HI
Conference Date 2017/6/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Univ. of Tokyo
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yoshinari Kameda(Univ. of Tsukuba) / 佐藤 雅之(北九州市大)
Vice Chair Kenji Mase(Nagoya Univ.)
Secretary Kenji Mase(Kyushu Univ.) / (Kyoto Univ.)
Assistant Hideaki Uchiyama(Kyushu Univ.) / Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment / Technical Group on Human Information
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of individual food preferences using food recordings
Sub Title (in English)
Keyword(1) food preference
Keyword(2) prediction
Keyword(3) short term
1st Author's Name Akihiro Tsubakida
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Sosuke Amano
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Kiyoharu Aizawa
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Makoto Ogawa
4th Author's Affiliation foo.log,Inc.(foo.log)
Date 2017-06-01
Paper # MVE2017-8
Volume (vol) vol.117
Number (no) MVE-73
Page pp.pp.55-60(MVE),
#Pages 6
Date of Issue 2017-05-25 (MVE)