Deep Variational Models for Collaborative Filtering-based Recommender Systems.
Jesús BobadillaFernando OrtegaAbraham GutiérrezÁngel González-PrietoPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- data sparsity
- recommendation systems
- information filtering
- collaborative filtering algorithms
- cold start problem
- personalized recommendation
- user profiles
- item based collaborative filtering
- implicit feedback
- user interests
- netflix prize
- trust aware
- recommendation quality
- probabilistic matrix factorization
- collaborative filtering recommender systems
- information retrieval
- deal with information overload
- cold start
- user model
- website
- content based filtering
- latent factor models
- product recommendation
- deep learning
- user modeling
- hybrid recommendation
- information overload
- rating matrix