Collaborative filtering based on iterative principal component analysis.
Dohyun KimBong-Jin YumPublished in: Expert Syst. Appl. (2005)
Keyphrases
- collaborative filtering
- principal component analysis
- recommender systems
- dimensionality reduction
- independent component analysis
- matrix factorization
- principal components
- data sparsity
- user preferences
- covariance matrix
- feature extraction
- lower dimensional
- information filtering
- dimension reduction
- discriminant analysis
- linear discriminant analysis
- product recommendation
- making recommendations
- content based filtering
- dimension reduction methods
- singular value decomposition
- low dimensional
- face images
- face recognition
- recommendation systems
- recommendation algorithms
- neural classifier
- negative matrix factorization
- iterative process
- personalized recommendation
- collaborative filtering algorithms
- website