Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems

Keyphrases

• Recommendation System 100%
• Partition Model 100%
• Prediction Accuracy 50%
• User-centric 50%
• Performance Accuracy 50%
• Item-based 50%
• Latent Factors 50%
• Hurt 50%
• Computational Efficiency 50%
• Rate Distribution 50%
• Movie Rating 50%
• Recommender 50%
• Negative Ratings 50%
• Rating Scale 50%
• Data Use 50%
• Rating Websites 50%

Computer Science

• Recommender Systems 100%
• k-Nearest Neighbors Algorithm 100%
• Computational Efficiency 50%
• Predictive Accuracy 50%
• Rating Scale 50%

Social Sciences

• Rating Scale 100%