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Paper Abstract and Keywords
Presentation 2013-08-01 14:55
A Recommendation Method for Dinner Recipes with Comprehensive Consideration of Multiple Factors
Hiroaki Ihara, Morihiko Tamai, Keiichi Yasumoto (NAIST) MoNA2013-14
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a recommender system for dinner recipes.
The decision making of dinner recipes is troublesome because we need to consider (1) a lot of candidate recipes (2) by taking into account various factors, and that (3) the decision occurs at every mealtime. Therefore, it would be useful if we could have a system that supports the decision making of recipes. In this research, we suppose that the main factors considered when deciding dinner recipes consist of food preference, nutrition, calorie, ease of cooking, and foodstuff stocks. Based on these factors, we propose a method to calculate a quantitative score for each factor, and to find the best weights among factors based on the user's sense of values or lifestyle. Aiming to integrate those factors into one quantitative score, we investigated the correlation between the ranking on recipes and scores of factors, and verified whether each factor is necessary in the decision making of dinner recipes. As a result, nutrition, calorie, ease of cooking, and foodstuff stocks except food preference showed a correlation with the user's ranking on recipes.
Keyword (in Japanese) (See Japanese page) 
(in English) Cooking Recipe / Recommender System / Multiple Factors / Weighting / Personalized Service / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 168, MoNA2013-14, pp. 7-12, Aug. 2013.
Paper # MoNA2013-14 
Date of Issue 2013-07-25 (MoNA) 
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 MoNA  
Conference Date 2013-08-01 - 2013-08-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile network, Mobile application, Mobile multimedia, Mobile service, etc. 
Paper Information
Registration To MoNA 
Conference Code 2013-08-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Recommendation Method for Dinner Recipes with Comprehensive Consideration of Multiple Factors 
Sub Title (in English)  
Keyword(1) Cooking Recipe  
Keyword(2) Recommender System  
Keyword(3) Multiple Factors  
Keyword(4) Weighting  
Keyword(5) Personalized Service  
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Keyword(7)  
Keyword(8)  
1st Author's Name Hiroaki Ihara  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Morihiko Tamai  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Keiichi Yasumoto  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2013-08-01 14:55:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2013-14 
Volume (vol) vol.113 
Number (no) no.168 
Page pp.7-12 
#Pages
Date of Issue 2013-07-25 (MoNA) 


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