Robust matrix factorization for collaborative filtering in recommender systems.
Christos George BampisCristian RusuHazem M. HajjAlan C. BovikPublished in: ACSSC (2017)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- low rank
- probabilistic matrix factorization
- low rank matrix
- user preferences
- cold start problem
- recommendation systems
- factor analysis
- negative matrix factorization
- nonnegative matrix factorization
- item recommendation
- recommendation quality
- implicit feedback
- missing data
- rating prediction
- variational bayesian
- stochastic gradient descent
- information overload
- latent factors
- cold start
- user profiles
- content based filtering
- collaborative filtering algorithms
- user interests
- latent factor models
- netflix prize