Using Explainability for Constrained Matrix Factorization.
Behnoush AbdollahiOlfa NasraouiPublished in: RecSys (2017)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- factorization methods
- missing data
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- data sparsity
- item recommendation
- variational bayesian
- stochastic gradient descent
- personalized ranking
- tensor factorization
- factorization method
- data sets
- low rank matrix
- latent factors
- binary matrix
- least squares
- probabilistic matrix factorization