Mini-batch gradient descent: Faster convergence under data sparsity.
Sarit KhiriratHamid Reza FeyzmahdavianMikael JohanssonPublished in: CDC (2017)
Keyphrases
- faster convergence
- data sparsity
- collaborative filtering
- matrix factorization
- step size
- recommender systems
- cost function
- global optimum
- convergence speed
- transfer learning
- pso algorithm
- cold start problem
- objective function
- cold start
- global optimization
- particle swarm optimization
- user ratings
- feature selection
- convergence rate
- multiscale