Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings.
Leandro Balby MarinhoJúlio Barreto Guedes da CostaDenis ParraRodrygo L. T. SantosPublished in: IUI (2022)
Keyphrases
- matrix factorization
- structure preserving
- dimensionality reduction
- collaborative filtering
- recommender systems
- nonnegative matrix factorization
- missing data
- low rank
- negative matrix factorization
- factorization methods
- data sparsity
- factor analysis
- low dimensional
- latent space
- personalized ranking
- tensor factorization
- stochastic gradient descent
- probabilistic matrix factorization
- latent factors
- variational bayesian
- machine learning
- factorization method
- data matrix
- implicit feedback
- high dimensional data
- data points
- item recommendation
- high dimensional
- computer vision