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Paper Abstract and Keywords
Presentation 2017-12-23 16:15
Expanding Cooking Repertoire by a Recommender System Focusing on the Difference From The Common Recipe
Tomoya Kambara, Kazuma Kusu (Doshisha Univ.), Hyukin Choi (NCS), Taiki Kinoshita (Doshisha Univ.), Takamitsu Shioi (Tokyo Tech.), Kenji Hatano (Doshisha Univ.) DE2017-39
Abstract (in Japanese) (See Japanese page) 
(in English) Many people can easily upload their original recipes to Web sites, so that the search result tends to include many similar recipes. Hence, it is difficult to find out recipes they have not cooked ever in conventional method. The key requirements are to be able to find a well-known recipe from among similar ones, and identify the differences among them. We believe that this process will lead to an increase in users’ cooking repertories. In this paper, we propose a method for searching cooking recipes while considering the differences between each well-known recipe extracted from the category of cuisines. In our method, the well-known recipe is defined by focusing on common cooking ingredients.
Keyword (in Japanese) (See Japanese page) 
(in English) Association Rule Analysis / Cooking Recipe Search / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 374, DE2017-39, pp. 121-125, Dec. 2017.
Paper # DE2017-39 
Date of Issue 2017-12-15 (DE) 
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)
Download PDF DE2017-39

Conference Information
Committee DE CEA IPSJ-DBS  
Conference Date 2017-12-22 - 2017-12-23 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DE 
Conference Code 2017-12-DE-CEA-DBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Expanding Cooking Repertoire by a Recommender System Focusing on the Difference From The Common Recipe 
Sub Title (in English)  
Keyword(1) Association Rule Analysis  
Keyword(2) Cooking Recipe Search  
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1st Author's Name Tomoya Kambara  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Kazuma Kusu  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Hyukin Choi  
3rd Author's Affiliation Nippon Control System Corporation (NCS)
4th Author's Name Taiki Kinoshita  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
5th Author's Name Takamitsu Shioi  
5th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
6th Author's Name Kenji Hatano  
6th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2017-12-23 16:15:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2017-39 
Volume (vol) vol.117 
Number (no) no.374 
Page pp.121-125 
#Pages 5 
Date of Issue 2017-12-15 (DE) 

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