Providing reliability in recommender systems through Bernoulli Matrix Factorization.
Fernando OrtegaRaúl Lara-CabreraÁngel González-PrietoJesús BobadillaPublished in: Inf. Sci. (2021)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- data sparsity
- cold start problem
- low rank
- probabilistic matrix factorization
- implicit feedback
- user preferences
- nonnegative matrix factorization
- missing data
- variational bayesian
- recommendation systems
- cold start
- item recommendation
- negative matrix factorization
- factorization methods
- personalized recommendation
- factor analysis
- user profiles
- recommendation quality
- personalized ranking
- low rank matrix factorization
- stochastic gradient descent
- high dimensional
- tensor factorization
- latent factor models
- user interests
- user feedback
- factor matrices
- maximum likelihood