Multi-Order Attentive Ranking Model for Sequential Recommendation

Computer Science

• Individual Level 100%
• Evaluation Metric 33%
• Source Codes 33%
• Deep Neural Network 33%
• Inference Model 33%
• Attention (Machine Learning) 33%
• Residual Neural Network 33%
• Experimental Result 33%
• Linear Combination 33%

Keyphrases

• Sequential Recommendation 100%
• Item Features 25%
• Residual Neural Network 25%
• Preference Inference 25%
• Multi-order Feature 25%
• Short-term Preference 25%
• Transition Order 25%
• Unified Embedding 25%
• User Transaction 25%