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Paper Abstract and Keywords
Presentation 2013-07-23 15:20
Context Oriented Analysis of Interest Reflection of Tweeted Webpages based on Browsing Behavior
Hao Han (Kanagawa Univ.), Hidekazu Nakawatase (NII), Keizo Oyama (NII/SOKENDAI) DE2013-27
Abstract (in Japanese) (See Japanese page) 
(in English) Twitter, the most popular micro-blog, attracts more and more Web users to share their accessed webpages and stimulates diverse recommendation mechanisms on social Web. However, the difference between webpage access and sharing on Twitter is almost not considered seriously, and many recommendation mechanisms are proposed based on an unproven common sense: "share" well reflects "interest" (users share their favorite webpages containing interested contents after accessing them). In this paper, we explain the difference between webpages access and sharing by giving possible reasons, and confirm them with actual users' activity data. We study the browsing behavior and develop a novel context-oriented approach to deeply analyze interest reflection of tweeted webpages by using net view data, twitter data, and webpages. The experimental result shows our approach can effectively evaluate credibility of interest reflection on Twitter.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / Browsing Behavior / Social Network / Credibility / Clustering / Support Vector Machine / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 150, DE2013-27, pp. 157-162, July 2013.
Paper # DE2013-27 
Date of Issue 2013-07-15 (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 DE2013-27

Conference Information
Committee DE IPSJ-DBS IPSJ-IFAT  
Conference Date 2013-07-22 - 2013-07-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Data Management, Information Search and Knowledge Retrieval for Big Data, etc. 
Paper Information
Registration To DE 
Conference Code 2013-07-DE-DBS-IFAT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Context Oriented Analysis of Interest Reflection of Tweeted Webpages based on Browsing Behavior 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) Browsing Behavior  
Keyword(3) Social Network  
Keyword(4) Credibility  
Keyword(5) Clustering  
Keyword(6) Support Vector Machine  
Keyword(7)  
Keyword(8)  
1st Author's Name Hao Han  
1st Author's Affiliation Kanagawa University (Kanagawa Univ.)
2nd Author's Name Hidekazu Nakawatase  
2nd Author's Affiliation National Institute of Informatics (NII)
3rd Author's Name Keizo Oyama  
3rd Author's Affiliation National Institute of Informatics, The Graduate University for Advanced Studies (NII/SOKENDAI)
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Speaker Author-1 
Date Time 2013-07-23 15:20:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2013-27 
Volume (vol) vol.113 
Number (no) no.150 
Page pp.157-162 
#Pages 6 
Date of Issue 2013-07-15 (DE) 

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