Multidimensional clustering based collaborative filtering approach for diversified recommendation

Mathematics

• Recommendations 63%
• Clustering 56%
• User Profile 19%
• Recommender Systems 16%
• Clustering Algorithm 12%
• Pruning 12%
• Similarity Measure 12%
• Sparsity 10%
• Experimental Results 9%
• Target 8%
• Prediction 7%
• Demonstrate 5%
• Performance 5%
• Form 4%

Engineering & Materials Science

• Collaborative filtering 66%
• Recommender systems 29%
• Clustering algorithms 26%