• DocumentCode
    1583759
  • Title

    Points-of-Interest Mining from People´s Photo-Taking Behavior

  • Author

    Lee, Ickjai ; Cai, Guochen ; Lee, Kyungmi

  • fYear
    2013
  • Firstpage
    3129
  • Lastpage
    3136
  • Abstract
    Millions of geo-tagged photos are becoming available due to the widespread of photo-sharing websites. These social medias capture attractive points-of-interest and contain interesting photo-taking patterns. Massive amount of these user-oriented data produces new challenges and understanding people´s photo-taking behavior is of great importance for local tourism-related businesses. This paper analyzes geo-tagged photos from Flickr for Queensland, a tourism-intensive and the second largest state in Australia. We report interesting points-of-interest patterns and discuss these findings.
  • Keywords
    Australia; Business; Clustering algorithms; Data mining; Educational institutions; Geospatial analysis; Noise; Flickr mining; geo-tagged photo; points-of-interest mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2013 46th Hawaii International Conference on
  • Conference_Location
    Wailea, HI, USA
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4673-5933-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2013.451
  • Filename
    6480221