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Paper Abstract and Keywords
Presentation 2019-01-22 10:25
Searching the Web for Trivia Inducing Users' Interests by Starting with SNS Trends
Junya Matsuda, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-81
Abstract (in Japanese) (See Japanese page) 
(in English) Trivia are one kind of knowledge about trashy things and trivial things etc., and almost always we do not care whether or not they are useful for us. Contrary to such nature that trivia have, trivia can be utilized as knowledge as well as a communication tool. For example, they are often used as a topic of conversation by people, and moreover as a topic of TV programs etc. However, there is little opportunity for us to learn about trivia in our daily lives, and also there are few people who bother to search for trivia purposely. In addition, there is currently no clear way to search the Web for funny trivia due to the explosively-growing information volume of the Web, although there are countless trivia on the Web. Therefore, we propose a novel way to search the Web for funny trivia that more people are interested in, by using a trend word showing a trend of the world as a starting point of the searching. This paper examines a method to search the Web for various kinds of trivia inducing users' interests, by focusing on SNS trends with high mobility of information.
Keyword (in Japanese) (See Japanese page) 
(in English) Trivia Search / SNS / Information Extraction / Web Mining / Machine Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 408, IN2018-81, pp. 51-56, Jan. 2019.
Paper # IN2018-81 
Date of Issue 2019-01-14 (IN) 
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 IN  
Conference Date 2019-01-21 - 2019-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) WINC AICHI 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2019-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Searching the Web for Trivia Inducing Users' Interests by Starting with SNS Trends 
Sub Title (in English)  
Keyword(1) Trivia Search  
Keyword(2) SNS  
Keyword(3) Information Extraction  
Keyword(4) Web Mining  
Keyword(5) Machine Learning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Junya Matsuda  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Komei Arasawa  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
3rd Author's Name Ryohei Watanabe  
3rd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
4th Author's Name Shun Hattori  
4th Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker
Date Time 2019-01-22 10:25:00 
Presentation Time 25 
Registration for IN 
Paper # IN2018-81 
Volume (vol) 118 
Number (no) no.408 
Page pp.51-56 
#Pages
Date of Issue 2019-01-14 (IN) 


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