User Recommendations based on Tensor Dimensionality Reduction.
Panagiotis SymeonidisPublished in: AIAI (2009)
Keyphrases
- dimensionality reduction
- recommender systems
- user preferences
- recommendation systems
- high dimensional data
- low dimensional
- user feedback
- data sets
- feature extraction
- image processing
- feature selection
- high dimensional
- item recommendation
- manifold learning
- data representation
- high order
- user interaction
- neural network
- principal component analysis
- collaborative filtering
- higher order
- user model
- pattern recognition
- making recommendations
- user satisfaction
- cold start
- nonlinear dimensionality reduction
- personalized recommender systems
- neighborhood preserving embedding
- machine learning
- recommendation quality
- recommendation algorithms
- subspace learning
- information overload
- search engine
- computer vision
- website
- matrix factorization
- principal components
- data points