Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback.
João VinagreAlípio Mário JorgeJoão GamaPublished in: UMAP (2014)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- implicit feedback
- data sparsity
- cold start problem
- user feedback
- latent factor models
- low rank
- cold start
- recommendation systems
- negative matrix factorization
- personalized recommendation
- factorization methods
- rating prediction
- nonnegative matrix factorization
- factor analysis
- user preferences
- missing data
- personalized ranking
- variational bayesian
- stochastic gradient descent
- latent factors
- tensor factorization
- data matrix
- relevance feedback
- transfer learning
- probabilistic matrix factorization
- factorization method
- feature space
- user profiles