Scaling matrix factorization for recommendation with randomness.
Lei TangPatrick HarringtonPublished in: WWW (Companion Volume) (2013)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- recommendation systems
- implicit feedback
- rating prediction
- negative matrix factorization
- personalized ranking
- user preferences
- factorization methods
- cold start
- nonnegative matrix factorization
- variational bayesian
- tensor factorization
- factorization method
- personalized recommendation
- recommendation algorithms
- factor analysis
- missing data
- tag recommendation
- stochastic gradient descent
- data matrix
- social networks
- user feedback
- probabilistic matrix factorization
- latent factors
- user interests
- transfer learning
- user profiles
- co occurrence