iALS++: Speeding up Matrix Factorization with Subspace Optimization.
Steffen RendleWalid KricheneLi ZhangYehuda KorenPublished in: CoRR (2021)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- missing data
- factorization methods
- low rank
- nonnegative matrix factorization
- factor analysis
- negative matrix factorization
- data matrix
- variational bayesian
- feature space
- step size
- low dimensional
- item recommendation
- personalized ranking
- low rank matrix
- implicit feedback
- principal component analysis
- high dimensional