Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization.
Juan Antonio Gómez PulidoEnrique Cortés-ToroArturo Durán-DomínguezJosé Manuel Lanza-GutiérrezBroderick CrawfordRicardo SotoPublished in: OLA (2020)
Keyphrases
- matrix factorization
- stochastic gradient descent
- metaheuristic
- collaborative filtering
- ant colony optimization
- optimization problems
- recommender systems
- simulated annealing
- genetic algorithm
- missing data
- step size
- least squares
- negative matrix factorization
- optimal solution
- low rank
- particle swarm optimization
- search space
- nonnegative matrix factorization
- loss function
- random forests
- convergence speed
- online algorithms