Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
Mingsheng ShangXin LuoZhigang LiuJia ChenYe YuanMengChu ZhouPublished in: IEEE CAA J. Autom. Sinica (2019)
Keyphrases
- industrial applications
- sparse matrices
- high dimensional
- latent factor models
- collaborative filtering
- floating point
- matrix factorization
- low dimensional
- dimensionality reduction
- high dimensionality
- condition number
- rows and columns
- linear algebra
- recommender systems
- data points
- high dimensional data
- topic models
- gene expression data
- nearest neighbor
- feature space
- singular value decomposition
- fixed point
- missing data
- co occurrence