High-dimensional Sparse Embeddings for Collaborative Filtering.
Jan Van BalenBart GoethalsPublished in: WWW (2021)
Keyphrases
- high dimensional
- collaborative filtering
- low dimensional
- dimensionality reduction
- sparse data
- high dimensional data
- manifold learning
- recommender systems
- low dimensional spaces
- feature space
- matrix factorization
- dimension reduction
- vector space
- similarity search
- high dimensionality
- sparse coding
- sparse representation
- high dimension
- additive models
- nearest neighbor
- recommendation systems
- variable selection
- deal with information overload
- input space
- user preferences
- data points
- probabilistic matrix factorization
- data sparsity
- high dimensional spaces
- personalized recommendation
- microarray data
- kernel function
- multi dimensional
- metric space
- euclidean space
- parameter space
- tensor factorization
- generalized linear models
- latent space
- product recommendation