Obscure Spots Discovery by Popularity and Sightseeing Value Assessment using UGC
| Project/Area Number |
16K12532
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
Ma Qiang 京都大学, 情報学研究科, 准教授 (30415856)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 観光情報学２.0 / UGCマイニング / 地理情報システム / ユーザ行動分析 / 集合知 / 観光価値 / 地域分析 / 観光情報学2.0 / 穴場 / マイニング / ユーザ生成コンテンツ / ユーザ分析 / GIS / POI / 観光 |
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| Outline of Final Research Achievements |
In this study, we analyze the UGC, such as social images on Flickr, to discover obscure spots which are not well-known but have high visiting worth. To this end, we have developed 1) popularity assessment models, and 2) sightseeing assessment models. By using these models to assess spots from both popularity and visiting-worth, we can discover obscure spots which could not be detected by conventional methods.
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| Academic Significance and Societal Importance of the Research Achievements |
観光立国の早期実現に必要な4千万人(2020年）の外国人観光客の獲得に向けて，多種多様な観光資源の発掘が重要である．本研究では，Flickr上の写真などのUGCを利用して，まだよく知られていないが観光価値の高い穴場スポットの発見を目的とし，(1) 場所の人気度（穴場度）の推定手法と，(2) 場所の観光価値の自動評価手法について研究開発を行う．人気度と観光価値の両方評価によって，従来手法では発見できなかった穴場などの新たな観光資源の発掘・発信が可能となる．
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Report
(4 results)
Research Products
(32 results)
