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Points-of-Interest Mining from People's Photo-Taking Behavior
6 references·0 citing·25 second hop
Points-of-Interest Mining from People's Photo-Taking Behavior (2013)Points-of-Interest Mining from People's P…Mining Travel Patterns from Geotagged Photos (2012)Mining Travel Patterns from G…Mining Travel Patterns from GPS-Tagged Photos (2011)Mining Travel Patterns from G…Mining tourist information from user-supplied collections (2009)Mining tourist information fr…Mapping the world's photos (2009)Mapping the world's photosDeducing trip related information from flickr (2009)Deducing trip related informa…Leveraging explicitly disclosed location information to understand tourist dynamics: a case study (2008)Leveraging explicitly disclos…Transportation Research, Part A: Policy and Practice (1997)Modeling Tourist Movements (2006)Transportation Research Part A: Policy and Practice (2009)Potential-of-Interest Maps for Mobile Tourist Information Services (2012)Multi-day and multi-stay travel planning using geo-tagged photos (2013)Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability (2019)Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Predestination: Inferring Destinations from Partial Trajectories (2006)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Big data or small data? A methodological review of sustainable tourism (2019)Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China (2019)Gazetiki (2008)Tourist clusters from Flickr travel photography (2014)Feeling a destination through the “right” photos: A machine learning model for DMOs’ photo selection (2017)Determining Sample Size for Research Activities (1970)Travel route recommendation using geotags in photo sharing sites (2010)Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)Mapping Cilento: Using geotagged social media data to characterize tourist flows in southern Italy (2016)You are where you tweet (2010)Friendship and mobility (2011)Measuring human perceptions of a large-scale urban region using machine learning (2018)Constructing travel itineraries from tagged geo-temporal breadcrumbs (2010)Analyzing Human Activities Through Volunteered Geographic Information: Using Flickr to Analyze Spatial and Temporal Pattern of Tourist Accommodation (2013)Machine learning and points of interest: typical tourist Italian cities (2019)
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References

  • 2009Mapping the world's photos782 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2008Leveraging explicitly disclosed location information to understand tourist dynamics: a case study154 cited
  • 2009Mining tourist information from user-supplied collections78 cited
  • 2009Deducing trip related information from flickr72 cited
  • 2011Mining Travel Patterns from GPS-Tagged Photos28 cited

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