Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation.
Yining WuShengyu DuanGaole SaiChenhong CaoGuobing ZouPublished in: CoRR (2024)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- latent factor models
- low rank
- cold start problem
- nonnegative matrix factorization
- factorization methods
- missing data
- negative matrix factorization
- user preferences
- cold start
- implicit feedback
- variational bayesian
- latent factors
- personalized recommendation
- stochastic gradient descent
- recommendation systems
- high order
- user profiles
- data matrix
- pairwise
- tensor factorization
- factor analysis
- personalized ranking