A phrase-based model to discover hidden factors and hidden topics in recommender systems

Keyphrases

• Recommender Systems 100%
• Hidden Topic 100%
• Phrase-based Model 100%
• Hidden Factors 100%
• Review Topic 66%
• State-of-the-art Techniques 33%
• User Preference 33%
• Collaborative Filtering 33%
• Phrase-based 33%
• User Characteristics 33%
• Hidden Dimension 33%
• Topic Visualization 33%
• Number of Reviews 33%
• Review Text 33%
• Topic Learning 33%
• Systems Focus 33%
• Phrase Level 33%
• Human Feedback 33%

Engineering

• Filtration 100%
• Conducted Experiment 100%
• State-of-the-Art Technique 100%

Computer Science

• Recommender Systems 100%
• User Preference 33%
• Collaborative Filtering 33%