Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Hsiang-Fu YuCho-Jui HsiehSi SiInderjit S. DhillonPublished in: ICDM (2012)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- factorization methods
- stochastic gradient descent
- latent factor models
- missing data
- low rank
- data sparsity
- user preferences
- negative matrix factorization
- nonnegative matrix factorization
- cold start problem
- probabilistic matrix factorization
- item recommendation
- implicit feedback
- recommendation systems
- personalized ranking
- tensor factorization
- variational bayesian
- factor analysis
- recommendation algorithms
- recommendation quality
- feature space