Explaining Neural Matrix Factorization with Gradient Rollback.
Carolin LawrenceTimo SztylerMathias NiepertPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- missing data
- low rank
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- data matrix
- data sparsity
- stochastic gradient descent
- factorization method
- latent factors
- implicit feedback
- tensor factorization
- image classification
- latent factor models
- co occurrence
- personalized ranking