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
Link To Document :
بازگشت