A novel recommendation method based on general matrix factorization and artificial neural networks.
Stelios KapetanakisNikolaos PolatidisGharbi AlshammariMiltos PetridisPublished in: Neural Comput. Appl. (2020)
Keyphrases
- matrix factorization
- artificial neural networks
- collaborative filtering
- low rank
- special case
- recommender systems
- negative matrix factorization
- missing data
- neural network
- factor analysis
- binary matrix
- factorization methods
- data matrix
- stochastic gradient descent
- probabilistic matrix factorization
- variational bayesian
- nonnegative matrix factorization
- principal component analysis
- item recommendation