Collaborative Filtering Recommendation Based on All-Weighted Matrix Factorization and Fast Optimization.
Hongmei LiXingchun DiaoJianjun CaoQibin ZhengPublished in: IEEE Access (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- stochastic gradient descent
- data sparsity
- probabilistic matrix factorization
- factor analysis
- low rank
- missing data
- negative matrix factorization
- item recommendation
- factorization methods
- nonnegative matrix factorization
- tensor factorization
- cold start problem
- variational bayesian
- implicit feedback
- data matrix
- recommendation systems
- low rank matrix
- latent factor models
- constrained optimization
- user preferences
- cold start
- multiscale
- personalized recommendation
- text mining
- cross domain collaborative filtering