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Mining tourist information from user-supplied collections
2 references·16 citing·49 second hop
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this work references cited by second hop

References

  • 2009Mapping the world's photos782 cited
  • 2008Gazetiki64 cited

Cited by

  • 2014User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software426 cited
  • 2017Feeling a destination through the “right” photos: A machine learning model for DMOs’ photo selection183 cited
  • 2014Tourist clusters from Flickr travel photography117 cited
  • 2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr73 cited
  • 2020An Exploratory Analysis of Geotagged Photos From Instagram for Residents of and Visitors to Vienna38 cited
  • 2017Discover Patterns and Mobility of Twitter Users—A Study of Four US College Cities26 cited
  • 2010Antourage25 cited
  • 2016Big (Geo)Data en Ciencias Sociales: Retos y Oportunidades24 cited
  • 2014Identifying tourists from public transport commuters22 cited
  • 2010ClustTour13 cited
  • 2013Points-of-Interest Mining from People's Photo-Taking Behavior11 cited
  • 2015FTT10 cited
  • 2019Towards Developing Smart Cities: Evidence from GIS Analysis on Tourists’ Behavior Using Social Network Data in the City of Athens10 cited

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  • 2011City exploration by use of spatio-temporal analysis and clustering of user contributed photos9 cited
  • 2017Fuzzy Modelling for Human Dynamics Based on Online Social Networks9 cited
  • 2011A comparative study of spatial, temporal and content-based patterns emerging in YouTube and Flickr8 cited