Automatic construction of travel itineraries using social breadcrumbs

351 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city (2014, background): “They could, for example, show the main points of interest along the path [8, 10].”
A survey on algorithmic approaches for solving tourist trip design problems (2014, background): “An application of this algorithm can be found in [37] where travel itineraries for a city are constructed from information collected in the social breadcrumb Flickr about the preferences of tourists visiting the city.”
Inferring international and internal migration patterns from Twitter data (2014, methodology): “Travel itineraries for tourists have been inferred using geo-tagged pictures in Flickr [9] and recommendations posted on Couchsurfing [19].”
Demographic research with non-representative internet data (2015, methodology): “Travel itineraries and short term-mobility have been inferred using various data sources, including geotagged pictures in Flickr (De Choudhury et al., 2010), recommendations posted on Couchsurfing (Pultar and Raubal, 2009), Twitter (Ferrari et al., 2011), Google Latitude (Ferrari and Mamei, 2011),…”