Hubs, authorities, and communities
ACM Computing Surveys (CSUR)
Clustering Using a Similarity Measure Based on Shared Near Neighbors
IEEE Transactions on Computers
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
What did you do today?: discovering daily routines from large-scale mobile data
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
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
WhereNext: a location predictor on trajectory pattern mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining city landmarks from blogs by graph modeling
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Equip tourists with knowledge mined from travelogues
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
Finding similar users using category-based location history
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining people's trips from large scale geo-tagged photos
Proceedings of the international conference on Multimedia
Photo2Trip: generating travel routes from geo-tagged photos for trip planning
Proceedings of the international conference on Multimedia
Mining social media to create personalized recommendations for tourist visits
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
Personalized travel recommendation by mining people attributes from community-contributed photos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
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The pervasiveness of GPS devices enables tourists recording their trajectories and uploading geo-tagged photos. Geo-related data has emerged as new source for travelers to refer to when making tourism decisions. As the increasing availability of these user-generated experiences on the social networks, there is a need to automatically discovering useful patterns for potential travelers. In this paper, we propose a tourism path by incorporating the trajectories and geo-photos. Specifically, we provide an algorithm for precisely matching user-uploaded photos to tourism sites and a density based clustering approach to identify the place of interests inside tourism sites. We then build a model that adapts the well-known HITS algorithm to detect interesting points and trajectories with high utility scores and design an algorithm for efficiently computing rational routes for visiting tourism sites. Finally, experimental results illustrate the advantage of the proposed density-based algorithm and confirm the effectiveness applicability of our tourism path discovering approach.