Latent factor analysis for low-dimensional implicit preference prediction.
Zili ZhouGuandong XuXiao ZhuShaowu LiuPublished in: BESC (2017)
Keyphrases
- factor analysis
- low dimensional
- latent factors
- component analysis
- independent component analysis
- cluster analysis
- high dimensional
- discriminant analysis
- principal component analysis
- dimensionality reduction
- automatic model selection
- high dimensional data
- data points
- manifold learning
- correspondence analysis
- latent space
- statistical tests
- matrix factorization
- feature space
- data mining
- user preferences
- input space
- latent variables
- signal processing
- face recognition
- unsupervised learning
- machine learning
- statistical analysis