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Paper Abstract and Keywords
Presentation 2020-03-06 14:50
A Feature Acquisition Method for Implementing High Dimension Content Based Information Recommendation
Ryo Murakami, Taiju Mikoshi, Katsunori Oyama, Toshihiro Nishizono (Nihon Univ.) NS2019-255
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a method for acquiring high-dimensional features used in a menu recommendation system based on content-based filtering. A weight unit conversion table is formed from information on the website that describes the weight of various shapes and units of ingredients. Insufficient information is replaced with similar ingredients. In addition, a nutrients content table is formed by matching Standard Tables of Food Composition in Japan with the ingredients in the recipe. Using these tables, the unit of weight is unified for the ingredients used for each dish, and the nutrient content is determined. As a result, 20,349 content features are acquired.
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Reference Info. IEICE Tech. Rep., vol. 119, no. 460, NS2019-255, pp. 443-448, March 2020.
Paper # NS2019-255 
Date of Issue 2020-02-27 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NS IN  
Conference Date 2020-03-05 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Royal Hotel Okinawa Zanpa-Misaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2020-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Feature Acquisition Method for Implementing High Dimension Content Based Information Recommendation 
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1st Author's Name Ryo Murakami  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Taiju Mikoshi  
2nd Author's Affiliation Nihon University (Nihon Univ.)
3rd Author's Name Katsunori Oyama  
3rd Author's Affiliation Nihon University (Nihon Univ.)
4th Author's Name Toshihiro Nishizono  
4th Author's Affiliation Nihon University (Nihon Univ.)
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Speaker
Date Time 2020-03-06 14:50:00 
Presentation Time 20 
Registration for NS 
Paper # IEICE-NS2019-255 
Volume (vol) IEICE-119 
Number (no) no.460 
Page pp.443-448 
#Pages IEICE-6 
Date of Issue IEICE-NS-2020-02-27 


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