Parallel Fractional Stochastic Gradient Descent With Adaptive Learning for Recommender Systems

Mathematics

• Adaptive Learning 100%
• Architecture 13%
• Baseline 13%
• Collaborative Filtering 20%
• Convergence Rate 30%
• Descent 12%
• Descent Method 15%
• Evaluate 9%
• Fractional 43%
• Fractional Calculus 13%
• Gradient Descent 74%
• High Accuracy 12%
• Large-scale Problems 14%
• Learning Rate 33%
• Matrix Factorization 30%
• Optimization Techniques 13%
• Parallel Methods 15%
• Parallelism 13%
• Performance 21%
• Predict 11%
• Range of data 7%
• Recommender Systems 99%
• Sparsity 12%
• Speedup 12%
• Stochastic Gradient 79%
• Structural Change 16%
• User Preferences 22%

Engineering & Materials Science

• Collaborative filtering 33%
• Factorization 59%
• Recommender systems 60%
• Sales 28%