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. Categories and Subject Descriptors H.2.8 [Database Management]: Database ApplicationsData mining; H.3.3 [Information Storage and Retrieval]: Information Search and Retri...

• Type: Conference
• Year: 2010
• Where: WWW
• Authors: Munmun De Choudhury, Moran Feldman, Sihem Amer-Yahia, Nadav Golbandi, Ronny Lempel, Cong Yu
• Keywords: Internet Technology, Intra-city Travel Itineraries, Mechanical Turk, Rich Media, WWW 2010