Learning dual preferences with non-negative matrix tri-factorization for Top-N recommender system

Keyphrases

• Dual Preferences 100%
• Product Characteristics 100%
• Non-negative Matrix Tri-factorization 100%
• Review Text 100%
• Top-N Recommender Systems 100%
• Copyright 50%
• International Publishing 50%
• Personal Characteristics 50%
• Different Characteristics 50%
• User Characteristics 50%
• User Preference 50%
• Recommender Systems 50%
• Collaborative Filtering 50%
• Rating Patterns 50%
• Topic Preference 50%
• Top-N Recommendation 50%

Computer Science

• Recommender Systems 100%
• User Preference 50%
• Collaborative Filtering 50%
• Personal Characteristic 50%