A Hybrid Feature Combination Method that Improves Recommendations

Keyphrases

• Classification Algorithms 25%
• Collaborative Filtering 75%
• Combined Method 100%
• Content-based Filtering 25%
• Demographic Filtering 100%
• Error Value 25%
• Feature Combination 100%
• Hybrid Features 100%
• Hybrid Method 25%
• Improved Prediction 25%
• Knowledge Filter 25%
• Large Amount of Data 25%
• Mean Absolute Error 25%
• MovieLens 25%
• Novel Hybrids 25%
• Offline Evaluation 25%
• Prediction Accuracy 50%
• Prediction Method 25%
• Random Forest Classifier 25%
• Rating Prediction 25%
• Recommender Systems 50%
• Sparsity 25%
• User Collaborative Filtering 25%

Computer Science

• Classification Algorithm 25%
• Collaborative Filtering 100%
• Combination Method 100%
• content-based filtering 25%
• Hybrid Approach 25%
• Mean Absolute Error 25%
• Prediction Accuracy 50%
• Random Forest Classifier 25%
• Recommender Systems 50%
• Sparsity 25%