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.
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Cai, G., Lee, K., Lee, I. (2016). A Framework for Mining Semantic-Level Tourist Movement Behaviours from Geo-tagged Photos. In: Kang, B.H., Bai, Q. (eds) AI 2016: Advances in Artificial Intelligence. AI 2016. Lecture Notes in Computer Science(), vol 9992. Springer, Cham. https://doi.org/10.1007/978-3-319-50127-7_44
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DOI: https://doi.org/10.1007/978-3-319-50127-7_44
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