Personalized rough-set-based recommendation by integrating multiple contents and collaborative information

Keyphrases

• Automatic Recommendation 33%
• Category Rating 100%
• Challenging Issues 33%
• Collaborative Information 100%
• Content Information 100%
• First-rater 33%
• Implicit Interest 33%
• Integrated Mining 33%
• Making Decisions 33%
• Method Fusion 33%
• Preference-based 33%
• Recommendation Method 33%
• Recommender 33%
• Recommender Systems 66%
• Set-based 100%
• Sparsity 33%
• Usage Logs 33%
• User Interest 33%
• User Preference 66%

Computer Science

• Decision-Making 25%
• Recommender Systems 50%
• Rough Set 100%
• Sparsity 25%
• User Preference 50%