A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering.
A. Murat YagciTevfik AytekinFikret S. GürgenPublished in: Int. J. Pattern Recognit. Artif. Intell. (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- negative matrix factorization
- factorization methods
- variational bayesian
- nonnegative matrix factorization
- highly efficient
- recommender systems
- probabilistic matrix factorization
- stochastic gradient descent
- bayesian framework
- least squares
- probabilistic model
- learning algorithm
- factor analysis
- expectation maximization
- data matrix
- data sparsity
- cold start problem