A framework for mining semantic-level tourist movement behaviours from geo-tagged photos
Conference Publication ResearchOnline@JCUCai, Guochen;Lee, Kyungmi;Lee, Ickjai
Abstract
This study investigates tourist movement patterns on the type of place semantic-level. We extract the semantic common movement patterns that a group of tourists have similar movement trajectories on the semantic level, and find out semantic trajectory patterns which are sequences of the type of place objects with transit time. Using real geo-tagged photos, we find out interesting common movement patterns and trajectory patterns. These results provide richer information and understanding of tourist movement behaviour on the type of place semantic-level.
Journal
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Publication Name
AI 2016: 29th Australasian Joint Conference on Artificial Intelligence
Volume
9992
ISBN/ISSN
978-3-319-50127-7
Edition
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Issue
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Pages Count
6
Location
Hobart, TAS, Australia
Publisher
Springer
Publisher Url
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Publisher Location
Berlin, Germany
Publish Date
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Url
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Date
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EISSN
N/A
DOI
10.1007/978-3-319-50127-7_44