Providing reliability in Recommender Systems through Bernoulli Matrix Factorization.
Fernando OrtegaRaúl Lara-CabreraÁngel González-PrietoJesús BobadillaPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- data sparsity
- low rank
- factorization methods
- stochastic gradient descent
- negative matrix factorization
- implicit feedback
- cold start problem
- nonnegative matrix factorization
- item recommendation
- cold start
- factor analysis
- data matrix
- probabilistic matrix factorization
- personalized recommendation
- user preferences
- user feedback
- missing data
- tensor factorization
- least squares
- exponential family
- recommendation systems
- transfer learning
- user profiles
- rating prediction
- image classification