An Efficient Recommender System Based on Collaborative Filtering Recommendation and Cluster Ensemble

Keyphrases

• Systems-based 100%
• Recommender Systems 100%
• Collaborative Filtering Recommendation 100%
• Clustering Ensemble 100%
• Clustering Methods 50%
• Prediction Accuracy 25%
• Recommendation Method 25%
• System Performance 25%
• Quality Performance 25%
• Big Data 25%
• Root Mean Square Error 25%
• Ensemble Methods 25%
• MovieLens 25%
• Overall Accuracy 25%
• Partitioning Algorithms 25%
• TED Talks 25%
• Multiple Clustering 25%
• Hypergraph Partitioning 25%
• Expectation-maximization Algorithm 25%
• New Recommendations 25%
• Recommendation Quality 25%
• Recall Accuracy 25%
• Precision-recall 25%

Computer Science

• Collaborative Filtering 100%
• Recommender Systems 100%
• Traditional Method 33%
• Experimental Result 33%
• Big Data 33%
• Systems Performance 33%
• Clustering Method 33%
• Predictive Accuracy 33%
• Ensemble Technique 33%
• Clustering Technique 33%

Engineering

• Filtration 100%
• Experimental Result 50%
• Similarities 50%
• Systems Performance 50%
• Maximization 50%
• Root Mean Square Error 50%
• Big Data 50%