Title :
Mining tourist routes using flickr traces
Author :
Chareyron, Gael ; Da-Rugna, Jerome ; Branchet, Berengere
Author_Institution :
Comput. Sci. Dept., Pole Univ. Leonard de Vinci, Paris La Défense, France
Abstract :
This paper is about a new methodology to automatically rebuild main paths from Flickr´s traces. Our geotagged image metadata´s corpus allows the construction of each photographer´s timeline. The tourist´s itinerary in the destination can then be reconstructed considering two modes: the fastest path and the most likely path. Major paths are directly extracted from the fusion of all itineraries. To illustrate the multi-scale efficiency of this work, several fields of study are presented : Berlin, the Loire Valley and the Palace of Versailles.
Keywords :
data mining; travel industry; Berlin; Flickr traces; Loire Valley; Palace of Versailles; geotagged image metadata corpus; multiscale efficiency; photographer timeline construction; tourist route mining; Area measurement; Conferences; Cultural differences; Data mining; Global Positioning System; Image reconstruction; Social network services;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON