Constructing travel itineraries from tagged geo-temporal breadcrumbs
Munmun De Choudhurya b, Moran Feldmanc, Sihem Amer-Yahiad, Nadav Golbandie f, Ronny Lempele f, Cong Yud
- aArizona State University, Tempe, AZ, USA
- bArizona State University , Tempe , AZ , USA
- cTechnion - Israel Institute of Technology, Haifa, Israel
- dYahoo! Research, New York, NY, USA
- eYahoo! Research, Haifa, Israel
- fYahoo research, Haifa, Israel#TAB#
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Abstract
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.
TL;DRAn 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, which indicates that high quality itineraries can be automatically constructed from Flickr data, when compared against popular professionally generated bus tours. (Semantic Scholar)