Presentation 2014-11-22
Behavior Prediction from Lifelog Data Using A Virtual Communiation-Network System
Yusuke OMORI, Ryoichi SHINKUMA, Kazuhiro YAMAGUCHI, Tatsuro TAKAHASHI,
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Abstract(in English) Along with the development of mobile devices, users' daily activities like purchase histories or online access histories can be stored as personal lifelog data easily. Therefore, it has been academically and commercially discussed how people's behaviors could be predicted from their lifelog data for information delivery or marketing. This paper proposes a virtual communication network system that can predict people's future behaviors. Compared with the conventional methods, simulation results validate that our proposed method has achieved a higher prediction accuracy even under the constraint of the equivalent computational cost.
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Keyword(in English) Social Graph / Link prediction / Virtual-communication-network algorithm / Recall ratio
Paper # ISEC2014-66,SITE2014-57,LOIS2014-36
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Conference Date 2014/11/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Behavior Prediction from Lifelog Data Using A Virtual Communiation-Network System
Sub Title (in English)
Keyword(1) Social Graph
Keyword(2) Link prediction
Keyword(3) Virtual-communication-network algorithm
Keyword(4) Recall ratio
1st Author's Name Yusuke OMORI
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 Kazuhiro YAMAGUCHI
3rd Author's Affiliation Kobe Digital Labo Inc.
4th Author's Name Tatsuro TAKAHASHI
4th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2014-11-22
Paper # ISEC2014-66,SITE2014-57,LOIS2014-36
Volume (vol) vol.114
Number (no) 320
Page pp.pp.-
#Pages 6
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