Algorithms for clustering data
Algorithms for clustering data
The Journal of Machine Learning Research
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
ICML '06 Proceedings of the 23rd international conference on Machine learning
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
Tag refinement by regularized LDA
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Exploring inter-concept relationship with context space for semantic video indexing
Proceedings of the ACM International Conference on Image and Video Retrieval
Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Discovery of user behavior patterns from geo-tagged micro-blogs
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
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Tagging is nowadays the most predominant technique to make resources searchable. These allow users to create and manage tags to annotate and categorize content. In this paper, we propose an approach to tag images in a user's collection based upon user's personal profile, his/her social context and the context defined by his/her prior image collection. We apply LDA for context modeling. In this scheme, tag similarity and tag relevance are jointly estimated so that they can profit from each other. We have used an Adaptive Context Model created from user related sources to tag images. Experimental validation with user's mobile as well as website based image collection has established effectiveness of the approach.