Subspace Embedding Based New Paper Recommendation.
Yi XieWen LiYuqing SunElisa BertinoBin GongPublished in: ICDE (2022)
Keyphrases
- locality preserving projections
- discriminative subspace
- recommender systems
- dimensionality reduction
- low dimensional
- vector space
- principal component analysis
- subspace learning
- high dimensional
- collaborative filtering
- high dimensional data
- nonlinear dimensionality reduction
- subspace clustering
- lower dimensional
- graph embedding
- recommendation systems
- feature space
- clustering high dimensional data
- user preferences
- linear subspace
- embedding space
- subspace methods
- data sets
- face recognition
- low dimensional spaces
- multidimensional scaling
- personalized recommendation
- manifold learning
- tag recommendation
- pattern recognition
- data embedding
- principal components analysis