Paper Info
Title
Deducing trip related information from flickr
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.
Year
DOI
Venue
2009
10.1145/1526709.1526919
WWW
Keywords
Field
DocType
tourist attraction,temporal information,useful knowledge,mining information,visit duration time,uploading tourist photo,filtered set,deducing trip,user-supplied metadata,tourist site,associated metadata,georeferencing,text mining
Metadata,World Wide Web,Information retrieval,Computer science,Georeference,Upload,Tourism
Conference
Citations 
PageRank 
References 
38
1.91
3
Authors
2
Name
Order
Citations
PageRank
Adrian Popescu126320.15
Gregory Grefenstette21129147.00