Paper Info
Title
Antourage: mining distance-constrained trips from flickr
Abstract
We study how to automatically extract tourist trips from large volumes of geo-tagged photographs. Working with more than 8 million of these photographs that are publicly available via photo- sharing communities such as Flickr and Panoramio, our goal is to satisfy the needs of a tourist who specifies a starting location (typically a hotel) together with a bounded travel distance and demands a tour that visits the popular sites along the way. Our system, named ANTOURAGE, solves this intractable problem using a novel adaptation of the max-min ant system (MMAS) meta-heuristic. Experiments using GPS metadata crawled from Flickr show that ANTOURAGE can generate high-quality tours.
Year
DOI
Venue
2010
10.1145/1772690.1772834
WWW
Keywords
Field
DocType
geo-tagged photograph,bounded travel distance,gps metadata,distance-constrained trip,tourist trip,large volume,high-quality tour,max-min ant system,flickr show,novel adaptation,intractable problem,geolocation,satisfiability
Metadata,World Wide Web,Trip planning,Computer science,Geolocation,Tourism,Global Positioning System,TRIPS architecture
Conference
Citations 
PageRank 
References 
19
0.98
8
Authors
3
Name
Order
Citations
PageRank
Saral Jain1271.87
Stephan Seufert227910.69
Srikanta Bedathur360743.23