An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
The Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
MM '08 Proceedings of the 16th ACM international conference on Multimedia
SheepDog: group and tag recommendation for flickr photos by automatic search-based learning
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Proceedings of the 18th international conference on World wide web
TagiCoFi: tag informed collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Product of Gaussians for speech recognition
Computer Speech and Language
Relation regularized matrix factorization
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
MAP-based image tag recommendation using a visual folksonomy
Pattern Recognition Letters
Automatic tag expansion using visual similarity for photo sharing websites
Multimedia Tools and Applications
Leveraging loosely-tagged images and inter-object correlations for tag recommendation
Proceedings of the international conference on Multimedia
Survey on social tagging techniques
ACM SIGKDD Explorations Newsletter
Collaborative topic modeling for recommending scientific articles
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Generalized latent factor models for social network analysis
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
ACM Computing Surveys (CSUR)
Content-based and collaborative techniques for tag recommendation: an empirical evaluation
Journal of Intelligent Information Systems
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Recently, tag recommendation (TR) has become a very hot research topic in data mining and related areas. However, neither co-occurrence based methods which only use the item-tag matrix nor content based methods which only use the item content information can achieve satisfactory performance in real TR applications. Hence, how to effectively combine the item-tag matrix, item content information, and other auxiliary information into the same recommendation framework is the key challenge for TR. In this paper, we first adapt the collaborative topic regression (CTR) model, which has been successfully applied for article recommendation, to combine both item-tag matrix and item content information for TR. Furthermore, by extending CTR we propose a novel hierarchical Bayesian model, called CTR with social regularization (CTR-SR), to seamlessly integrate the item-tag matrix, item content information, and social networks between items into the same principled model. Experiments on real data demonstrate the effectiveness of our proposed models.