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Paper Abstract and Keywords
Presentation 2011-03-02 13:20
Predicting content requests from social context in mobile content services
Hiroyuki Kubo, Ryoichi Shinkuma, Tatsuro Takahashi (Kyoto Univ.), Hiroyuki Kasai (Univ. of Electro-Communications), Kazuhiro Yamaguchi (Kobe Digital Labo), Roy Yates (Rutgers Univ.) MoMuC2010-80
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the improved transmission speed and mobile device capability in wireless access networks enable us to use rich content in mobile environment. Demand prediction is important technique for content services. However, it is hard to predict local demand in mobile environments because it depends not only on just user preference
and the popularity of common content but also on other factors. Thus, we need to consider the context with multiple factors affecting the demand. In addition, we also need to consider the sequence of contexts. We call a
sequence of contexts social context. In this paper, we propose a novel demand prediction engine that extracts local demand depending on social context and estimates what content will be requested there. To extract the demand, we use a log database and a pattern-matching technique in our prediction engine. To validate our prediction engine, we apply a prefetching service using the engine to a mobile content service.
Keyword (in Japanese) (See Japanese page) 
(in English) Demand prediction / Social context / Mobile content service / Pattern matching / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, March 2011.
Paper #  
Date of Issue 2011-02-23 (MoMuC) 
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 MoMuC2010-80

Conference Information
Committee RCS MoNA SR  
Conference Date 2011-03-02 - 2011-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) YRP 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To MoNA 
Conference Code 2011-03-RCS-MoMuC-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting content requests from social context in mobile content services 
Sub Title (in English)  
Keyword(1) Demand prediction  
Keyword(2) Social context  
Keyword(3) Mobile content service  
Keyword(4) Pattern matching  
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1st Author's Name Hiroyuki Kubo  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Ryoichi Shinkuma  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Tatsuro Takahashi  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Hiroyuki Kasai  
4th Author's Affiliation the University of Electro-Communications (Univ. of Electro-Communications)
5th Author's Name Kazuhiro Yamaguchi  
5th Author's Affiliation Kobe Digital Labo (Kobe Digital Labo)
6th Author's Name Roy Yates  
6th Author's Affiliation Rutgers University (Rutgers Univ.)
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Speaker Author-1 
Date Time 2011-03-02 13:20:00 
Presentation Time 20 minutes 
Registration for MoNA 
Paper # MoMuC2010-80 
Volume (vol) vol.110 
Number (no) no.434 
Page pp.7-12 
#Pages 6 
Date of Issue 2011-02-23 (MoMuC) 

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