Presentation 2011-03-02
Predicting content requests from social context in mobile content services
Hiroyuki KUBO, Ryoichi SHINKUMA, Tatsuro TAKAHASHI, Hiroyuki KASAi, Kazuhiro YAMAGUCHI, Roy Yates,
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Abstract(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)
Keyword(in English) Demand prediction / Social context / Mobile content service / Pattern matching
Paper # MoMuC2010-80
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Conference Information
Committee MoMuC
Conference Date 2011/2/23(1days)
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Paper Information
Registration To Mobile Multimedia Communications(MoMuC)
Language JPN
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
1st Author's Name Hiroyuki KUBO
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Ryoichi SHINKUMA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Tatsuro TAKAHASHI
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
4th Author's Name Hiroyuki KASAi
4th Author's Affiliation Graduate School of Information Systems, the University of Electro-Communications
5th Author's Name Kazuhiro YAMAGUCHI
5th Author's Affiliation Kobe Digital Labo
6th Author's Name Roy Yates
6th Author's Affiliation Wireless Information Network Laboratory (WINLAB)
Date 2011-03-02
Paper # MoMuC2010-80
Volume (vol) vol.110
Number (no) 434
Page pp.pp.-
#Pages 6
Date of Issue