autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization.
Abdelghani AzriAdil HaddiHakim AllaliPublished in: SADASC (2022)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank
- recommender systems
- negative matrix factorization
- factorization methods
- missing data
- nonnegative matrix factorization
- data sparsity
- factor analysis
- variational bayesian
- data matrix
- stochastic gradient descent
- high dimensional
- personalized ranking
- item recommendation
- tensor factorization
- latent factors
- implicit feedback
- linear combination