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Antourage: Mining Distance-constrained Trips from Flickr

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44692

Jain,  Saral
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45462

Seufert,  Stephan
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44104

Bedathur Jagannath,  Srikanta
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Jain, S., Seufert, S., & Bedathur Jagannath, S. (2010). Antourage: Mining Distance-constrained Trips from Flickr. In M. Rappa, P. Jones, J. Freire, & S. Chakrabarti (Eds.), Proceedings of the 19th International Conference on World Wide Web (pp. 1121-1122). New York, NY: ACM. doi:10.1145/1772690.1772834.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0019-B318-8
Zusammenfassung
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.