Time-aware sequence model for next-item recommendation

Keyphrases

• User Behavior 100%
• Sequential Recommendation 100%
• Time-aware 100%
• Coupled Input 100%
• Sequence Models 100%
• Embedding Layer 100%
• Next-item Recommendation 100%
• Forget Gate 100%
• Copyright 50%
• Markov Chain 50%
• Efficiency Improvement 50%
• Time Information 50%
• Long-term Memory 50%
• Recommendation Model 50%
• Recurrent Neural Network 50%
• Long Short-term Memory Network 50%
• Data Sparsity 50%
• Global Context Information 50%
• Long Short-term Memory 50%
• Short-term Preference 50%
• User Dynamics 50%
• Chain Recurrent 50%
• Dynamic Preferences 50%
• Relative Order 50%
• Input Layer 50%
• Next Item Prediction 50%

Computer Science

• User Behavior 100%
• Sequence Model 100%
• Traditional Method 50%
• And Gate 50%
• Context Information 50%
• Global Context 50%
• Sparsity 50%
• Time Information 50%
• Long Short-Term Memory Networks 50%
• Recurrent Neural Network 50%
• Long Short-Term Memory Network 50%
• Markov Chain 50%