A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems.
Di WuXin LuoMingsheng ShangYi HeGuoyin WangMengChu ZhouPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2021)
Keyphrases
- latent factor models
- sparse matrices
- recommender systems
- high dimensional
- collaborative filtering
- matrix factorization
- floating point
- low dimensional
- linear algebra
- dimensionality reduction
- high dimensionality
- condition number
- user preferences
- feature space
- personalized recommendation
- high dimensional data
- user profiles
- nearest neighbor
- topic models
- rows and columns
- data points
- fixed point
- graphical models