Online-updating regularized kernel matrix factorization models for large-scale recommender systems.
Steffen RendleLars Schmidt-ThiemePublished in: RecSys (2008)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- factorization methods
- probabilistic matrix factorization
- latent factor models
- low rank
- missing data
- factor analysis
- negative matrix factorization
- nonnegative matrix factorization
- latent factors
- probabilistic model
- regularized kernel
- cold start problem
- data sparsity
- data matrix
- variational bayesian
- implicit feedback
- user profiles
- tensor factorization
- user preferences