Elements of information theory
Elements of information theory
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FaceTracer: A Search Engine for Large Collections of Images with Faces
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
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
Mining city landmarks from blogs by graph modeling
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Location sensitive indexing for image-based advertising
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
Using flickr geotags to predict user travel behaviour
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
W2Go: a travel guidance system by automatic landmark ranking
Proceedings of the international conference on Multimedia
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
Social pixels: genesis and evaluation
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Knowledge Discovery from Community-Contributed Multimedia
IEEE MultiMedia
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
Exploiting large-scale check-in data to recommend time-sensitive routes
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Discovering informative social subgraphs and predicting pairwise relationships from group photos
Proceedings of the 20th ACM international conference on Multimedia
People search and activity mining in large-scale community-contributed photos
Proceedings of the 20th ACM international conference on Multimedia
Generating tourism path from trajectories and geo-photos
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Photographer paths: sequence alignment of geotagged photos for exploration-based route planning
Proceedings of the 2013 conference on Computer supported cooperative work
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
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
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Leveraging community-contributed data (e.g., blogs, GPS logs, and geo-tagged photos) for travel recommendation is one of the active researches since there are rich contexts and trip activities in such explosively growing data. In this work, we focus on personalized travel recommendation by leveraging the freely available community-contributed photos. We propose to conduct personalized travel recommendation by further considering specific user profiles or attributes (e.g., gender, age, race). In stead of mining photo logs only, we argue to leverage the automatically detected people attributes in the photo contents. By information-theoretic measures, we will demonstrate that such people attributes are informative and effective for travel recommendation -- especially providing a promising aspect for personalization. We effectively mine the demographics for different locations (or landmarks) and travel paths. A probabilistic Bayesian learning framework which further entails mobile recommendation on the spot is introduced. We experiment on four million photos collected for eight major worldwide cities. The experiments confirm that people attributes are promising and orthogonal to prior works using travel logs only and can further improve prior travel recommendation methods especially in difficult predictions by further leveraging user contexts in mobile devices.