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Paper Abstract and Keywords
Presentation 2017-06-01 13:45
Prediction of individual food preferences using food recordings
Akihiro Tsubakida, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log)
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) food preference / prediction / short term / / / / /  
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Conference Information
Committee HI IEICE-MVE VRSJ  
Conference Date 2017-06-01 - 2017-06-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Yayoi Auditorium, Ichijo Hall / Annex 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-MVE 
Conference Code 2017-06-MVE-HI 
Language Japanese 
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  
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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)
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Speaker Author-1 
Date Time 2017-06-01 13:45:00 
Presentation Time 20 minutes 
Registration for IEICE-MVE 
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Volume (vol) vol.41 
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