Curse of "Low" Dimensionality in Recommender Systems.
Naoto OhsakaRiku TogashiPublished in: SIGIR (2023)
Keyphrases
- low dimensionality
- recommender systems
- high dimensionality
- high dimensional
- high dimensional data
- low dimensional
- feature space
- collaborative filtering
- dimensionality reduction
- dimension reduction
- matrix factorization
- feature selection
- microarray
- manifold learning
- high dimensional spaces
- nearest neighbor
- latent space
- image classification
- principal component analysis
- machine learning
- parameter space
- random projections