A Deep Recommendation Model Considering the Impact of Time and Individual Diversity

Keyphrases

• Time Impact 100%
• Recommendation Model 100%
• Time Diversity 100%
• Time Decay Function 100%
• Individual Diversity 100%
• Attention Model 66%
• Embedding Vector 66%
• Target Item 66%
• Latent Factor Model 66%
• User Embedding 66%
• Long Ago 33%
• Recommendation System 33%
• Dynamically Adjust 33%
• Attention Mechanism 33%
• Collaborative Filtering 33%
• Recommendation Performance 33%
• Collaborative Filtering Recommendation 33%
• Filtering Technology 33%
• Time Decay 33%
• Item Rating 33%
• Deep Learning System 33%
• People's Preferences 33%
• Decay Function 33%
• MovieLens 33%
• Score Prediction 33%

Computer Science

• Collaborative Filtering 100%
• Attention (Machine Learning) 50%
• Filtering Technology 50%
• Deep Learning Method 50%
• Learning System 50%