Mining tourist information from user-supplied collections

Authors:
Adrian Popescu;Gregory Grefenstette;Pierre-Alain Moëllic
Affiliations:
TELECOM Bretagne, Brest, France;Exalead, Paris, France;CEA LIST, Fontenat aux Roses, France
Venue:
Proceedings of the 18th ACM conference on Information and knowledge management
Year:
2009

Citing 9
Cited 11

Mining, indexing, and querying historical spatiotemporal data

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Towards automatic extraction of event and place semantics from flickr tags

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Trajectory pattern mining

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Generating diverse and representative image search results for landmarks

Proceedings of the 17th international conference on World Wide Web
Gazetiki: automatic creation of a geographical gazetteer

Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
World-scale mining of objects and events from community photo collections

CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Mapping the world's photos

Proceedings of the 18th international conference on World wide web
Mining interesting locations and travel sequences from GPS trajectories

Proceedings of the 18th international conference on World wide web

Antourage: mining distance-constrained trips from flickr

Proceedings of the 19th international conference on World wide web
ClustTour: city exploration by use of hybrid photo clustering

Proceedings of the international conference on Multimedia
Geotagging in multimedia and computer vision--a survey

Multimedia Tools and Applications
City exploration by use of spatio-temporal analysis and clustering of user contributed photos

Proceedings of the 1st ACM International Conference on Multimedia Retrieval
STS: complex spatio-temporal sequence mining in flickr

DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Mining social media to create personalized recommendations for tourist visits

Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
The detection of scene features in Flickr

ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Identifying points of interest by self-tuning clustering

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Cluster-based photo browsing and tagging on the go

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Exploratory analysis on heterogeneous tag-point patterns for ranking and extracting hot-spot related tags

Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Personalized intra- and inter-city travel recommendation using large-scale geotags

Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

Tourist photographs constitute a large part of the images uploaded to photo sharing platforms. But filtering methods are needed before one can extract useful knowledge from noisy user-supplied metadata. Here we show how to extract clean trip related information (what people visit, for how long, panoramic spots) from Flickr metadata. We illustrate our technique on a sample of metadata and images covering 183 cities of different size and from different parts of the world.