Tag recommendations based on tensor dimensionality reduction.
Panagiotis SymeonidisAlexandros NanopoulosYannis ManolopoulosPublished in: RecSys (2008)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- low dimensional
- social tagging systems
- principal component analysis
- high dimensionality
- data representation
- recommender systems
- data points
- singular value decomposition
- principal components
- dimensionality reduction methods
- pattern recognition
- tag recommendation
- pattern recognition and machine learning
- feature selection
- linear discriminant analysis
- neighborhood preserving embedding
- social tagging
- manifold learning
- nonlinear dimensionality reduction
- recommendation systems
- random projections
- lower dimensional
- feature space
- feature extraction
- structure preserving
- linear dimensionality reduction
- high order
- subspace learning
- user preferences
- supervised dimensionality reduction
- personalized recommendation
- pairwise
- image processing
- neural network