Online Bagging for Recommendation with Incremental Matrix Factorization.
João VinagreAlípio Mário JorgeJoão GamaPublished in: STREAMEVOLV@ECML-PKDD (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- nonnegative matrix factorization
- negative matrix factorization
- online learning
- recommendation systems
- user preferences
- implicit feedback
- personalized recommendation
- variational bayesian
- missing data
- ensemble methods
- rating prediction
- tensor factorization
- cold start
- factorization methods
- decision trees
- stochastic gradient descent
- factor analysis
- user interests
- machine learning
- random forests
- user profiles
- probabilistic matrix factorization