document: Deducing trip related information from flickr 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 .
doc_bio_tags: O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O