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A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo

In tourism-dependent cities, investigating the spatiotemporal distribution and dynamics of tourist flows is crucial for better urban planning in both steady and perturbed states. In recent years, researchers have started relying more on photo-based, geotagged social data, which offer insights about...

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Detalles Bibliográficos
Autores principales: Derdouri, Ahmed, Osaragi, Toshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449224/
http://dx.doi.org/10.1007/s40558-021-00208-3

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