High Performance Coordinate Descent Matrix Factorization for Recommender Systems.
Xi YangJianbin FangJing ChenChengkun WuTao TangKai LuPublished in: Conf. Computing Frontiers (2017)
Keyphrases
- matrix factorization
- recommender systems
- stochastic gradient descent
- collaborative filtering
- data sparsity
- low rank
- negative matrix factorization
- factor analysis
- factorization methods
- nonnegative matrix factorization
- item recommendation
- recommendation systems
- user preferences
- user profiles
- latent factor models
- cold start problem
- recommendation quality
- probabilistic matrix factorization
- logistic regression
- implicit feedback
- rating prediction
- low rank matrix factorization
- variational bayesian
- cold start
- kernel learning
- multi task
- missing data