Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

Mathematics

• Stochastic Gradient 100%
• Gradient Descent 94%
• Momentum 72%
• Learning 68%
• Descent Algorithm 57%
• Gradient Algorithm 55%
• Recommender Systems 50%
• Scalability 39%
• Factor Models 38%
• Parallelization 18%
• Learning Algorithm 17%
• Factor Analysis 17%
• Sparse matrix 17%
• Training 16%
• Experimental Results 15%
• Fold 13%
• Convergence Rate 12%
• High-dimensional 12%
• Strategy 10%

Engineering & Materials Science

• Momentum 69%
• Recommender systems 37%
• Scalability 30%
• Factor analysis 21%
• Computational efficiency 18%
• Learning algorithms 15%