Using Singular Value Decomposition Approximation for Collaborative Filtering.
Sheng ZhangWeihong WangJames FordFillia MakedonJustin D. PearlmanPublished in: CEC (2005)
Keyphrases
- singular value decomposition
- collaborative filtering
- singular vectors
- low rank approximation
- singular values
- least squares
- recommender systems
- low rank
- dimension reduction
- reconstruction error
- matrix factorization
- dimensionality reduction
- principal component analysis
- data matrix
- latent semantic indexing
- latent semantic analysis
- neural network
- measurement matrix
- matrix decomposition
- closed form
- image processing
- approximation methods
- factorization method
- approximation algorithms
- low rank matrix
- null space
- kernel matrix
- video sequences
- feature extraction
- image sequences
- machine learning