An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications.
Xin LuoMengChu ZhouShuai LiMingsheng ShangPublished in: IEEE Trans. Ind. Informatics (2018)
Keyphrases
- interior point methods
- industrial applications
- sparse matrices
- condition number
- high dimensional
- latent factor models
- linear programming
- collaborative filtering
- low dimensional
- high dimensionality
- matrix factorization
- recommender systems
- dimensionality reduction
- high dimensional data
- nonnegative matrix factorization
- objective function
- topic models
- linear algebra
- nearest neighbor
- floating point
- latent factors
- feature space
- gene expression data
- singular value decomposition
- kernel function
- unsupervised learning
- least squares
- data points