TY  - CONF
ID  - www2009172
UR  - http://www2009.eprints.org/172/
A1  - Popescu, Adrian
A1  - Grefenstette, Gregory
Y1  - 2009/04//
N2  - Uploading tourist photos is a popular activity on photo sharing platforms. These photographs and their associated metadata (tags, geo-tags, and temporal information) should be useful for mining information about the sites visited. However, user-supplied metadata are often noisy and efficient filtering methods are needed before extracting useful knowledge. We focus here on exploiting temporal information, associated with tourist sites that appear in Flickr. From automatically filtered sets of geo-tagged photos, we deduce answers to questions like ?how long does it take to visit a tourist attraction?? or ?what can I visit in one day in this city?? Our method is evaluated and validated by comparing the automatically obtained visit duration times to manual estimations.
TI  - Deducing Trip Related Information from Flickr
SP  - 1183
M2  - Madrid, Spain
AV  - public
EP  - 1183
T2  - 18th International World Wide Web Conference
ER  -