Simplifying neural networks by soft weight-sharing
Neural Computation
Keeping the neural networks simple by minimizing the description length of the weights
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
An Introduction to Variational Methods for Graphical Models
Machine Learning
The multiple multiplicative factor model for collaborative filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Non-linear matrix factorization with Gaussian processes
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Large-scale collaborative prediction using a nonparametric random effects model
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Regression-based latent factor models
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to recommend with social trust ensemble
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Fast nonparametric matrix factorization for large-scale collaborative filtering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to recommend with trust and distrust relationships
Proceedings of the third ACM conference on Recommender systems
Proceedings of the 18th ACM conference on Information and knowledge management
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
The Journal of Machine Learning Research
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Learning to recommend with explicit and implicit social relations
ACM Transactions on Intelligent Systems and Technology (TIST)
Improving Recommender Systems by Incorporating Social Contextual Information
ACM Transactions on Information Systems (TOIS)
Like like alike: joint friendship and interest propagation in social networks
Proceedings of the 20th international conference on World wide web
Probabilistic factor models for web site recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Probabilistic matrix factorization leveraging contexts for unsupervised relation extraction
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
A bayesian framework for learning shared and individual subspaces from multiple data sources
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Multiple domain user personalization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative topic modeling for recommending scientific articles
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
An analysis of probabilistic methods for top-N recommendation in collaborative filtering
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Bayesian matrix co-factorization: variational algorithm and Cramér-Rao bound
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Learning multiple models for exploiting predictive heterogeneity in recommender systems
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Generalizing matrix factorization through flexible regression priors
Proceedings of the fifth ACM conference on Recommender systems
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation
Proceedings of the fifth ACM conference on Recommender systems
Learning recommender systems with adaptive regularization
Proceedings of the fifth ACM international conference on Web search and data mining
Personalized recommendation of user comments via factor models
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Factorization Machines with libFM
ACM Transactions on Intelligent Systems and Technology (TIST)
A latent model for collaborative filtering
International Journal of Approximate Reasoning
Build your own music recommender by modeling internet radio streams
Proceedings of the 21st international conference on World Wide Web
A hierarchical model for ordinal matrix factorization
Statistics and Computing
Active learning for online bayesian matrix factorization
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature enriched nonparametric bayesian co-clustering
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Learning to rank social update streams
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Review quality aware collaborative filtering
Proceedings of the sixth ACM conference on Recommender systems
Constrained collective matrix factorization
Proceedings of the sixth ACM conference on Recommender systems
LogUCB: an explore-exploit algorithm for comments recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
Multi-faceted ranking of news articles using post-read actions
Proceedings of the 21st ACM international conference on Information and knowledge management
A probabilistic approach to robust matrix factorization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Generating virtual ratings from chinese reviews to augment online recommendations
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Personalized Reliability Prediction of Web Services
ACM Transactions on Software Engineering and Methodology (TOSEM)
App recommendation: a contest between satisfaction and temptation
Proceedings of the sixth ACM international conference on Web search and data mining
Connecting comments and tags: improved modeling of social tagging systems
Proceedings of the sixth ACM international conference on Web search and data mining
Expert Systems with Applications: An International Journal
Recommendation in Online Health Communities
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Expert Systems with Applications: An International Journal
User preference representation based on psychometric models
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
An experimental study on implicit social recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Active learning and search on low-rank matrices
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Combining latent factor model with location features for event-based group recommendation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling factorization machines to relational data
Proceedings of the VLDB Endowment
One-class collaborative filtering with random graphs
Proceedings of the 22nd international conference on World Wide Web
Localized matrix factorization for recommendation based on matrix block diagonal forms
Proceedings of the 22nd international conference on World Wide Web
Stochastic variational inference
The Journal of Machine Learning Research
PREA: personalized recommendation algorithms toolkit
The Journal of Machine Learning Research
Nonparametric bayesian multitask collaborative filtering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Community-based user recommendation in uni-directional social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
AnchorMF: towards effective event context identification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Social recommendation incorporating topic mining and social trust analysis
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Scientific articles recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
To personalize or not: a risk management perspective
Proceedings of the 7th ACM conference on Recommender systems
Sample selection for MCMC-based recommender systems
Proceedings of the 7th ACM conference on Recommender systems
Incorporating social actions into recommender systems
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Hierarchical Bayesian matrix factorization with side information
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Celebrity recommendation with collaborative social topic regression
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Cross-domain collaborative filtering via bilinear multilevel analysis
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A unified framework for reputation estimation in online rating systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
SCMF: sparse covariance matrix factorization for collaborative filtering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Social trust prediction using heterogeneous networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Bridging memory-based collaborative filtering and text retrieval
Information Retrieval
Proceedings of the 23rd international conference on World wide web
Modeling contextual agreement in preferences
Proceedings of the 23rd international conference on World wide web
CoBaFi: collaborative bayesian filtering
Proceedings of the 23rd international conference on World wide web
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Knowledge-Based Systems
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Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP estimate of the model parameters, a procedure that can be performed efficiently even on very large datasets. However, unless the regularization parameters are tuned carefully, this approach is prone to overfitting because it finds a single point estimate of the parameters. In this paper we present a fully Bayesian treatment of the Probabilistic Matrix Factorization (PMF) model in which model capacity is controlled automatically by integrating over all model parameters and hyperparameters. We show that Bayesian PMF models can be efficiently trained using Markov chain Monte Carlo methods by applying them to the Netflix dataset, which consists of over 100 million movie ratings. The resulting models achieve significantly higher prediction accuracy than PMF models trained using MAP estimation.