Work-in-Progress: Accelerated Matrix Factorization by Approximate Computing for Recommendation System.
Yining WuGaole SaiShengyu DuanPublished in: EMSOFT (2022)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- factorization methods
- nonnegative matrix factorization
- missing data
- factor analysis
- negative matrix factorization
- low rank matrix
- data sparsity
- stochastic gradient descent
- user preferences
- personalized recommendation
- probabilistic matrix factorization
- latent factors
- tensor factorization
- data matrix
- latent factor models
- recommendation systems
- item recommendation
- factorization method
- least squares