An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications

Keyphrases

• Industrial Application 100%
• Non-negative Latent Factor Model 100%
• Sparse Matrices 100%
• High-dimensional Matrices 100%
• Non-negative Latent Factor 40%
• Non-negative Matrix Factorization 40%
• Training Scheme 40%
• Decision Variables 20%
• Big Data 20%
• Highly Effective 20%
• Single Element 20%
• Recommender Systems 20%
• Non-negativity Constraint 20%
• Factorization Method 20%
• Useful Patterns 20%
• General Training 20%
• Parameters Training 20%
• Factor Variables 20%
• Matrix Factorization Model 20%
• Mapping Function 20%
• Output Factor 20%
• Nonnegative Data 20%

Computer Science

• Industrial Application 100%
• nonnegative matrix factorization 66%
• Decision Variable 33%
• Related Application 33%
• Experimental Result 33%
• Big Data 33%
• Recommender Systems 33%
• Representativeness 33%
• Matrix Factorization Model 33%
• Mapping Function 33%