GAN-based Matrix Factorization for Recommender Systems.
Ervin DervishajPaolo CremonesiPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- factorization methods
- nonnegative matrix factorization
- information overload
- structuring elements
- negative matrix factorization
- data sparsity
- implicit feedback
- variational bayesian
- factor analysis
- user preferences
- personalized recommendation
- user profiles
- probabilistic matrix factorization
- stochastic gradient descent
- latent factors
- recommendation quality
- item recommendation
- recommendation systems
- user feedback
- cold start
- tensor factorization
- data matrix
- latent factor models
- factor matrices