IEEE Transactions on Knowledge and Data Engineering
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Indexing multi-dimensional time-series with support for multiple distance measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
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
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 15th international conference on Multimedia
Mining spatio-temporal patterns in object mobility databases
Data Mining and Knowledge Discovery
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Modelling spatio-temporal movement of tourists using finite Markov chains
Mathematics and Computers in Simulation
A Tourist Route Search System Based on Web Information and the Visibility of Scenic Sights
ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
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
Tour the world: a technical demonstration of a web-scale landmark recognition engine
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A visual analysis of the relationship between word concepts and geographical locations
Proceedings of the ACM International Conference on Image and Video Retrieval
Tour recommendation system based on web information and GIS
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Constructing travel itineraries from tagged geo-temporal breadcrumbs
Proceedings of the 19th international conference on World wide web
Automatic construction of travel itineraries using social breadcrumbs
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Visual query suggestion: Towards capturing user intent in internet image search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Travel route recommendation using geotags in photo sharing sites
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Photo2Trip: generating travel routes from geo-tagged photos for trip planning
Proceedings of the international conference on Multimedia
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Mining travel patterns from GPS-tagged photos
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Incorporating landmarks with quality measures in routing procedures
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Mining tourist routes using Flickr traces
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Multi-day and multi-stay travel planning using geo-tagged photos
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Extracting scenic routes from VGI data sources
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Exploration of geo-tagged photos through data mining approaches
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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Recently, the phenomenal advent of photo-sharing services, such as Flickr and Panoramio, have led to volumous community-contributed photos with text tags, timestamps, and geographic references on the Internet. The photos, together with their time- and geo-references, become the digital footprints of photo takers and implicitly document their spatiotemporal movements. This study aims to leverage the wealth of these enriched online photos to analyze people’s travel patterns at the local level of a tour destination. Specifically, we focus our analysis on two aspects: (1) tourist movement patterns in relation to the regions of attractions (RoA), and (2) topological characteristics of travel routes by different tourists. To do so, we first build a statistically reliable database of travel paths from a noisy pool of community-contributed geotagged photos on the Internet. We then investigate the tourist traffic flow among different RoAs by exploiting the Markov chain model. Finally, the topological characteristics of travel routes are analyzed by performing a sequence clustering on tour routes. Testings on four major cities demonstrate promising results of the proposed system.