Efficient and Portable ALS Matrix Factorization for Recommender Systems.
Jing ChenJianbin FangWeifeng LiuTao TangXuhao ChenCanqun YangPublished in: IPDPS Workshops (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- data sparsity
- low rank
- implicit feedback
- cold start problem
- nonnegative matrix factorization
- factorization methods
- missing data
- factor analysis
- variational bayesian
- user profiles
- negative matrix factorization
- stochastic gradient descent
- item recommendation
- probabilistic matrix factorization
- data matrix
- user preferences
- latent factors
- latent factor models