Curse of "Low" Dimensionality in Recommender Systems.
Naoto OhsakaRiku TogashiPublished in: CoRR (2023)
Keyphrases
- low dimensionality
- recommender systems
- high dimensionality
- high dimensional
- low dimensional
- high dimensional data
- dimensionality reduction
- collaborative filtering
- dimension reduction
- feature space
- feature selection
- matrix factorization
- microarray
- data points
- latent space
- feature extraction
- manifold learning
- lower dimensional
- principal component analysis
- neural network
- nearest neighbor
- data analysis
- multiscale
- data mining