Efficient Algorithms for Shortest Paths in Sparse Networks
Journal of the ACM (JACM)
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
The Journal of Machine Learning Research
Core Vector Machines: Fast SVM Training on Very Large Data Sets
The Journal of Machine Learning Research
Usage patterns of collaborative tagging systems
Journal of Information Science
Unsupervised learning on k-partite graphs
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Building Support Vector Machines with Reduced Classifier Complexity
The Journal of Machine Learning Research
Learning on the border: active learning in imbalanced data classification
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
SVM optimization: inverse dependence on training set size
Proceedings of the 25th international conference on Machine learning
Topic-link LDA: joint models of topic and author community
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Latent dirichlet allocation for tag recommendation
Proceedings of the third ACM conference on Recommender systems
Tensor Decompositions and Applications
SIAM Review
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
Multiplicative latent factor models for description and prediction of social networks
Computational & Mathematical Organization Theory
Hierarchical Bayesian Models for Collaborative Tagging Systems
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
You are who you know: inferring user profiles in online social networks
Proceedings of the third ACM international conference on Web search and data mining
Folks in Folksonomies: social link prediction from shared metadata
Proceedings of the third ACM international conference on Web search and data mining
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
The topic-perspective model for social tagging systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Survey on social tagging techniques
ACM SIGKDD Explorations Newsletter
Improving social bookmark search using personalised latent variable language models
Proceedings of the fourth ACM international conference on Web search and data mining
Supervised random walks: predicting and recommending links in social networks
Proceedings of the fourth ACM international conference on Web search and data mining
PLDA+: Parallel latent dirichlet allocation with data placement and pipeline processing
ACM Transactions on Intelligent Systems and Technology (TIST)
Investigating topic models for social media user recommendation
Proceedings of the 20th international conference companion on World wide web
Predicting friendship links in social networks using a topic modeling approach
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Link prediction via matrix factorization
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Social link recommendation by learning hidden topics
Proceedings of the fifth ACM conference on Recommender systems
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
Proceedings of the fifth ACM conference on Recommender systems
Multi-relational Link Prediction in Heterogeneous Information Networks
ASONAM '11 Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining
Finding your friends and following them to where you are
Proceedings of the fifth ACM international conference on Web search and data mining
Understanding and leveraging tag-based relations in on-line social networks
Proceedings of the 23rd ACM conference on Hypertext and social media
The dynamic features of delicious, flickr, and YouTube
Journal of the American Society for Information Science and Technology
Context-aware music recommendation based on latenttopic sequential patterns
Proceedings of the sixth ACM conference on Recommender systems
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Social networks have become a popular medium for people to communicate and distribute ideas, content, news, and advertisements. Social content annotation has naturally emerged as a method of categorization and filtering of online information. The unrestricted vocabulary users choose from to annotate content has often lead to an explosion of the size of space in which search is performed. In this article, we propose latent topic models as a principled way of reducing the dimensionality of such data and capturing the dynamics of collaborative annotation process. We propose three generative processes to model latent user tastes with respect to resources they annotate with metadata. We show that latent user interests combined with social clues from the immediate neighborhood of users can significantly improve social link prediction in the online music social media site Last.fm. Most link prediction methods suffer from the high class imbalance problem, resulting in low precision and/or recall. In contrast, our proposed classification schemes for social link recommendation achieve high precision and recall with respect to not only the dominant class (nonexistence of a link), but also with respect to sparse positive instances, which are the most vital in social tie prediction.