Deep variational models for collaborative filtering-based recommender systems.
Jesús BobadillaFernando OrtegaAbraham GutiérrezÁngel González-PrietoPublished in: Neural Comput. Appl. (2023)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- data sparsity
- user preferences
- user modeling
- personalized recommendation
- information overload
- information filtering
- recommendation algorithms
- implicit feedback
- cold start problem
- item based collaborative filtering
- user interests
- netflix prize
- trust aware
- user ratings
- item recommendation
- recommendation quality
- latent factor models
- collaborative filtering algorithms
- user profiles
- user model
- neural network
- deal with information overload
- neighbor selection
- online dating
- user profiling
- deep learning
- recommendation systems
- music recommendation
- movie recommendation
- product recommendation
- compound critiques
- collaborative filtering recommender systems