document: Constructing travel itineraries from tagged geo-temporal breadcrumbs Vacation planning is a frequent laborious task which requires skilled interaction with a multitude of resources . This paper develops an end-to-end approach for constructing intra-city travel itineraries automatically by tapping a latent source reflecting geo-temporal breadcrumbs left by millions of tourists . In particular , the popular rich media sharing site , Flickr , allows photos to be stamped by the date and time of when they were taken , and be mapped to Points Of Interest ( POIs ) by latitude-longitude information as well as semantic metadata ( e.g. , tags ) that describe them . Our extensive user study on a `` crowd-sourcing '' marketplace ( Amazon Mechanical Turk ) , indicates that high quality itineraries can be automatically constructed from Flickr data , when compared against popular professionally generated bus tours .
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