Combining Singular Value Decomposition and Item-based Recommender in Collaborative Filtering.
SongJie GongHongWu YeYae DaiPublished in: WKDD (2009)
Keyphrases
- collaborative filtering
- singular value decomposition
- recommender systems
- matrix factorization
- least squares
- low rank
- singular values
- dimension reduction
- principal component analysis
- user preferences
- data sparsity
- dimensionality reduction
- latent semantic indexing
- user profiles
- user ratings
- recommendation systems
- cold start
- factorization method
- cold start problem
- personalized recommendation
- making recommendations
- singular vectors
- latent semantic analysis
- item based collaborative filtering
- low rank matrix
- machine learning
- low rank approximation
- data matrix
- linear discriminant analysis
- feature extraction