Parallel matrix factorization for recommender systems.
Hsiang-Fu YuCho-Jui HsiehSi SiInderjit S. DhillonPublished in: Knowl. Inf. Syst. (2014)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- data sparsity
- cold start problem
- negative matrix factorization
- user preferences
- factor analysis
- information overload
- nonnegative matrix factorization
- cold start
- implicit feedback
- factorization methods
- item recommendation
- user profiles
- variational bayesian
- personalized recommendation
- data matrix
- missing data
- factorization method
- latent factor models
- recommendation quality
- low rank matrix factorization
- computer architecture
- probabilistic matrix factorization
- rating prediction
- user interaction
- latent factors
- prediction accuracy
- stochastic gradient descent
- user feedback