Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation.
Yuheng JiaJia-Nan LiWenhui WuRan WangPublished in: CoRR (2024)
Keyphrases
- low rank
- matrix factorization
- semi supervised
- collaborative filtering
- low rank matrix
- factorization methods
- recommender systems
- missing data
- matrix completion
- nonnegative matrix factorization
- labeled data
- semi supervised learning
- low rank matrix factorization
- kernel matrix
- negative matrix factorization
- unsupervised learning
- pairwise
- singular values
- supervised learning
- active learning
- low rank matrices
- linear combination
- data matrix
- generative model
- pairwise constraints
- tensor factorization
- feature extraction