Constructing travel itineraries from tagged geo-temporal breadcrumbs

Munmun De Choudhury, Moran Feldman, Sihem Amer-Yahia, Nadav Golbandi, Ronny Lempel, Cong Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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. 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.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages1083-1084
Number of pages2
DOIs
StatePublished - 2010
Externally publishedYes
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 26 Apr 201030 Apr 2010

Publication series

NameProceedings of the 19th International Conference on World Wide Web, WWW '10

Conference

Conference19th International World Wide Web Conference, WWW2010
Country/TerritoryUnited States
CityRaleigh, NC
Period26/04/1030/04/10

Keywords

  • flickr
  • geo-tags
  • mechanical turk
  • media applications
  • orienteering problem
  • rich media
  • travel itinerary

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