creators_name: Popescu, Adrian creators_name: Grefenstette, Gregory type: conference_item datestamp: 2009-04-06 19:13:56 lastmod: 2009-04-07 14:03:07 metadata_visibility: show title: Deducing Trip Related Information from Flickr ispublished: pub full_text_status: public pres_type: poster abstract: 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. date: 2009-04 pagerange: 1183-1183 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Popescu, Adrian and Grefenstette, Gregory (2009) Deducing Trip Related Information from Flickr. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/172/1/p1183.pdf