| Project/Area Number |
26330118
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Information network
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| Research Institution | Waseda University |
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Principal Investigator |
Koyanagi Keiichi 早稲田大学, 理工学術院(情報生産システム研究科・センター), 教授 (20367171)
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| Co-Investigator(Kenkyū-buntansha) |
土屋 健 諏訪東京理科大学, 経営情報学部, 講師 (90546251)
澤野 弘明 愛知工業大学, 情報科学部, 准教授 (10609431)
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| Research Collaborator |
YOSHINAGA Hirokazu
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | ユーザ嗜好情報 / 分散管理 / デジタルサイネージ / 嗜好情報 / インターネット履歴情報 / 動作特徴抽出 / 特徴分類手法 / 電子広告 / 顔検出 / SNS |
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| Outline of Final Research Achievements |
This research is aim to discuss gathering and inferring manner of user preference through digital signage by the integration of human image and big data analysis. Firstly, we discuss presentation manner of advertisement that affects users’ interest in digital signage, and propose presentation system chasing walkers. Secondly, discussing the derivation manner of users’ preference information by categorizing keywords abstracted from their post on SNS. And, clarify management manner of users’ preference information by distributed database which scaling on demands adaptively. Proposal manner enables to map data on current DB to virtualized spaces and operated them by SQL language from applications.
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