Conditioned Variational Autoencoder for Top-N Item Recommendation.
Tommaso CarraroMirko PolatoLuca BergaminFabio AiolliPublished in: ICANN (2) (2022)
Keyphrases
- item recommendation
- matrix factorization
- collaborative filtering
- personalized ranking
- tag recommendation
- recommender systems
- optical flow
- image segmentation
- negative matrix factorization
- user preferences
- variational methods
- implicit feedback
- graphical models
- missing data
- data sparsity
- cold start
- tensor factorization