Matrix Factorization on GPUs with Memory Optimization and Approximate Computing.
Wei TanShiyu ChangLiana FongCheng LiZijun WangLiangliang CaoPublished in: ICPP (2018)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- missing data
- low rank
- factorization methods
- nonnegative matrix factorization
- factor analysis
- item recommendation
- negative matrix factorization
- data sparsity
- personalized ranking
- variational bayesian
- latent factor models
- constrained optimization
- factorization method
- object recognition
- latent factors
- tensor factorization
- low rank matrix