A Multidimensional Collaborative Filtering Fusion Approach with Dimensionality Reduction.
Xiaoyu TangYue XuAhmad Abdel-HafezShlomo GevaPublished in: AusDM (2014)
Keyphrases
- collaborative filtering
- dimensionality reduction
- recommender systems
- multidimensional data
- low dimensional
- high dimensional
- feature extraction
- matrix factorization
- principal component analysis
- high dimensionality
- manifold learning
- high dimensional data
- principal components
- user preferences
- data representation
- pattern recognition
- data fusion
- recommendation systems
- dimensionality reduction methods
- data sparsity
- feature selection
- multi dimensional
- linear discriminant analysis
- data points
- pattern recognition and machine learning
- random projections
- feature space
- structure preserving
- linear dimensionality reduction
- user interests
- data cube
- metric learning
- probabilistic matrix factorization
- multi sensor
- user profiles
- information fusion
- multidimensional scaling
- user ratings
- cold start
- nonlinear dimensionality reduction
- semi supervised dimensionality reduction
- product recommendation
- computer vision
- personalized recommendation
- fusion algorithm
- fusion methods
- fusion method
- data warehouse
- image fusion