Online bagging for recommendation with incremental matrix factorization.
João VinagreAlípio Mário JorgeJoão GamaPublished in: CoRR (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- implicit feedback
- nonnegative matrix factorization
- negative matrix factorization
- factorization methods
- rating prediction
- random forests
- factor analysis
- personalized ranking
- missing data
- cold start
- random forest
- machine learning
- stochastic gradient descent
- ensemble methods
- recommendation systems
- user preferences
- variational bayesian
- personalized recommendation
- user feedback
- tensor factorization
- tag recommendation
- online communities
- online learning
- dimensionality reduction
- least squares
- decision trees
- search engine