Antourage: mining distance-constrained trips from flickr

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 photosharing 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. Categories and Subject Descriptors: H.2.8 [Database applications] : Data Mining, Spatial Databases and GIS General Terms: Algorithms, Experimentation, Human Factors

• Type: Conference
• Year: 2010
• Where: WWW
• Authors: Saral Jain, Stephan Seufert, Srikanta J. Bedathur
• Keywords: GIS General Terms, Internet Technology, Large Volumes, Tourist Trips, WWW 2010