Hybrid Generative Adversarial Networks for News Recommendation

Keyphrases

• Generative Adversarial Networks 100%
• News Recommendation 100%
• Matrix Factorization 70%
• Long Short-term Memory 50%
• Textual Content 40%
• Network Model 30%
• Convolutional Neural Network 20%
• Recommendation System 20%
• News Articles 20%
• Collaborative Topic Modeling 20%
• Network-based Recommendation 20%
• Network Matrix 20%
• Experiment Results 10%
• Network Structure 10%
• Content Features 10%
• Attention Mechanism 10%
• Novel Hybrids 10%
• System Effectiveness 10%
• Access to Information 10%
• Online News 10%
• News Websites 10%
• Recommendation Model 10%
• Preference Prediction 10%
• Personalized Recommendation 10%
• Latent Vector 10%
• User-item 10%
• Dynamic Preferences 10%
• User Dynamics 10%
• Latent Feature 10%
• World News 10%
• Item Features 10%
• Latent Feature Extraction 10%
• News Platforms 10%
• Memory Matrix 10%
• Content Extraction Signature 10%

Computer Science

• Generative Adversarial Networks 100%
• Matrix Factorization 70%
• Long Short-Term Memory Network 50%
• Convolutional Neural Network 20%
• Topic Modeling 20%
• Textual Content 20%
• Network Matrix 20%
• Feature Extraction 20%
• Attention (Machine Learning) 10%
• Relative Importance 10%
• Information Access 10%
• System Effectiveness 10%
• Baseline Method 10%
• Network Structure 10%

Engineering

• Matrix Factorization 100%
• Long Short-Term Memory 71%
• Network Model 42%
• Feature Extraction 28%
• Convolutional Neural Network 28%
• Relative Importance 14%