GPS: Factorized group preference-based similarity models for sparse sequential recommendation

Mathematics

• Recommendations 100%
• User Preferences 88%
• Similarity 79%
• Sparsity 48%
• Sequential Patterns 41%
• Recommender Systems 38%
• Markov chain 38%
• Interaction 33%
• Model 30%
• Leverage 29%
• Matrix Factorization 29%
• Target 19%
• Prediction 18%
• Modeling 15%
• Range of data 14%
• Demonstrate 13%

Business & Economics

• User Preferences 59%
• Markov Chain 50%
• Sequential Patterns 38%
• Matrix Factorization 37%
• Recommender Systems 30%
• Interaction 25%
• Prediction 19%
• Leverage 18%
• Modeling 13%
• Factors 8%

Engineering & Materials Science

• Global positioning system 80%
• Markov chains 60%
• Recommender systems 31%
• Factorization 30%