On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance

Mathematics

• Recommendations 76%
• Ranking 72%
• Learning 64%
• Relationships 42%
• Performance 42%
• Recommender Systems 39%
• Factorization of Matrices 15%
• Large Data Sets 14%
• Formalization 12%
• Sparsity 12%
• Ternary 11%
• Verify 9%
• Evaluate 9%
• Binary 8%
• Experiment 8%
• Output 8%
• Evaluation 8%
• Interaction 8%
• Dependent 7%
• Metric 7%
• Model 7%
• Standards 6%

Engineering & Materials Science

• Learning to rank 100%
• Recommender systems 70%
• Large dataset 38%
• Factorization 35%
• Set theory 22%
• Experiments 12%