Learning from sets of items in recommender systems

Keyphrases

• Recommender Systems 100%
• Collaborative Filtering 66%
• Item-level 66%
• Preference Information 66%
• User Preference 33%
• Information Hiding 33%
• User Behavior 33%
• System Use 33%
• Synthetic Data 33%
• Privacy Concerns 33%
• User Ratings 33%
• Number of Users 33%
• Overall Characteristics 33%
• Active Users 33%
• Rating Behavior 33%
• Information Level 33%
• User-item 33%
• Rating Prediction 33%
• MovieLens 33%
• Number of Ratings 33%

Computer Science

• Recommender Systems 100%
• Individual Item 100%
• Collaborative Filtering 66%
• User Preference 33%
• Information Hiding 33%
• Privacy Concern 33%
• Related Question 33%
• Underlying Data 33%
• User Behavior 33%
• Synthetic Data 33%