A hybrid approach for improving predictive accuracy of collaborative filtering algorithms

Keyphrases

• Prediction Accuracy 100%
• Hybrid Method 100%
• Collaborative Filtering 100%
• Collaborative Filtering Algorithm 100%
• Recommendation Method 66%
• Marketing Theory 33%
• Item Features 33%
• Recommender Systems 33%
• Personalized System 33%
• Recommendation Algorithm 33%
• User Interest 33%
• User-centric 33%
• Consumer Behavior Theory 33%
• Real-world Application 33%
• Application Domain 33%
• User Characteristics 33%
• Consumer Marketing 33%
• Hybrid Recommendation 33%
• Sparsity Problem 33%
• Recommendation Approach 33%

Computer Science

• Hybrid Approach 100%
• Collaborative Filtering 100%
• Predictive Accuracy 100%
• collaborative filtering algorithm 100%
• Recommender Systems 33%
• Recommendation Algorithm 33%
• Application Domain 33%
• World Application 33%
• Sparsity 33%
• Information Item 33%
• hybrid recommendation 33%