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