Assigning reliability values to recommendations using matrix factorization.
Bo ZhuFernando OrtegaJesús BobadillaAbraham GutiérrezPublished in: J. Comput. Sci. (2018)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- item recommendation
- cold start problem
- missing data
- low rank
- latent factor models
- factorization methods
- data sparsity
- user preferences
- negative matrix factorization
- implicit feedback
- variational bayesian
- nonnegative matrix factorization
- tensor factorization
- data matrix
- binary matrix
- stochastic gradient descent
- cold start
- personalized recommendation
- factorization method
- factor analysis
- data sets
- recommendation algorithms
- recommendation systems
- user profiles
- multiscale