Hierarchical Matrix Factorization for Interpretable Collaborative Filtering.
Kai SugaharaKazushi OkamotoPublished in: CoRR (2023)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- probabilistic matrix factorization
- low rank
- nonnegative matrix factorization
- negative matrix factorization
- factorization methods
- factor analysis
- item recommendation
- data matrix
- missing data
- stochastic gradient descent
- implicit feedback
- latent factor models
- cold start problem
- user ratings
- variational bayesian
- latent factors
- recommendation systems
- probabilistic model
- recommendation quality
- multiscale
- tensor factorization
- factorization method
- recommendation algorithms
- least squares