Paper Info
Title
Finding similar destinations with flickr geotags
Abstract
The amount of geo-referenced information on the Web is increasing thanks to the large availability of location-aware mobile devices and map interfaces. In particular, in photo collections like Flickr the coexistence of geographic meta-data and text-based annotations (tags) can be exploited to infer new, useful information. This paper introduces a novel method to generate place profiles as vectors of user-provided tags from Flickr geo-referenced photos. These profiles can then be used to measure place similarity in terms of the distance between their matching vectors. A Web-based prototype has been implemented and used to analyze two distinct Flickr datasets, related to a chosen set of top tourism destinations. The system has been evaluated by real users with an online survey. Results show that our method is suitable to define similar destinations. Moreover, according to users, enriching place description with information from user activities provided better similarities.
Year
DOI
Venue
2012
10.1145/2245276.2245415
SAC
Keywords
DocType
Citations 
novel method,web-based prototype,flickr geotags,geo-referenced information,distinct flickr datasets,place similarity,place profile,flickr geo-referenced photo,similar destination,place description,better similarity,useful information,mobile device,geotagging
Conference
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Davide Eynard11119.51
Alessandro Inversini25210.28
Leonardo Gentile300.34