Novel personal and group-based trust models in collaborative filtering for document recommendation

Mathematics

• Trust Model 100%
• Collaborative Filtering 87%
• Recommendations 55%
• Recommender Systems 32%
• User Preferences 12%
• Trustworthiness 11%
• Overload 9%
• Hybrid Model 8%
• Experimental Results 6%
• Resolve 6%
• Prediction 5%
• Knowledge 4%
• Metric 4%
• Relationships 3%
• Performance 3%
• Model 2%

Business & Economics

• Collaborative Filtering 74%
• Trust Model 62%
• Rating 50%
• Recommender Systems 33%
• Hybrid Model 13%
• User Preferences 11%
• Information Overload 10%
• Prediction Accuracy 10%
• Trustworthiness 9%
• Performance 3%

Engineering & Materials Science

• Collaborative filtering 58%
• Recommender systems 25%