An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

Keyphrases

• Recommender Systems 100%
• Sparse Matrices 100%
• Latent Factors 100%
• Second-order Approach 100%
• Process Optimization 50%
• Hessian-Free Optimization 50%
• Latent Factor Model 50%
• Collaborative Filtering Model 50%
• First-order Optimization Algorithms 50%
• Second-order Optimization 50%
• Optimization Framework 25%
• High Efficiency 25%
• Computational Efficiency 25%
• Prediction Accuracy 25%
• High Performance 25%
• Learning Systems 25%
• High Scalability 25%
• Optimization Approach 25%
• Collaborative Filtering 25%
• Hessian Matrix 25%
• Industrial Datasets 25%
• Latent Feature 25%
• High-order Information 25%
• Optimization Task 25%
• Incomplete Matrix 25%
• Recommender 25%
• Gradient Decent 25%

Computer Science

• Collaborative Filtering 100%
• Recommender Systems 100%
• Optimization Algorithm 66%
• Process Optimization 66%
• Optimization Framework 33%
• Learning Systems 33%
• Experimental Result 33%
• Computational Efficiency 33%
• Prediction Accuracy 33%
• Hessian Matrix 33%
• Optimization Task 33%
• Order Information 33%

Chemical Engineering

• Scalability 100%
• Learning System 100%