GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

Keyphrases

• Group Recommendation 100%
• Mutual Information Maximization 100%
• Sparsity 66%
• Group Interaction 66%
• Performance Improvement 33%
• Regularization Method 33%
• Maximizing mutual Information 33%
• Covariance 33%
• Aggregator 33%
• Encoder 33%
• Individual Preferences 33%
• Group Members 33%
• User Groups 33%
• Latent Space 33%
• Group Representation 33%
• Agnostic 33%
• Recommendation Method 33%
• Recommender 33%
• Activity History 33%
• Historical Process 33%
• Persistent Group 33%
• Item Recommendation 33%
• Art Group 33%
• Preference Weights 33%
• Data Regularization 33%
• Contextual Relevance 33%
• Neural Preference 33%
• Contextual Preferences 33%

Computer Science

• Sparsity 100%
• Mutual Information 100%
• Group Interaction 100%
• Group Members 50%
• Experimental Result 50%
• Regularization 50%
• Performance Improvement 50%
• User Individual 50%

Social Sciences

• Consumers 100%
• Maximization 100%
• Group Interaction 50%
• Group Members 25%