Triple Factorization-Like Symmetric and Nonnegative Latent Factor Models for Undirected, Sparse and Large-Scaled Networks.
Ming LiYan SongGuisong YangPublished in: SMC (2019)
Keyphrases
- tensor factorization
- matrix factorization
- latent factor models
- latent factors
- collaborative filtering
- nonnegative matrix factorization
- recommender systems
- low rank
- negative matrix factorization
- sparse representation
- missing data
- singular value decomposition
- least squares
- factor analysis
- high dimensional
- maximum likelihood
- machine learning
- information extraction
- prior knowledge
- data matrix
- objective function
- bayesian networks
- feature extraction