CAME: Content- and context-aware music embedding for recommendation

Keyphrases

• Context-aware 100%
• Content-aware 100%
• Music Embedding 100%
• Contextual Data 75%
• Musical Piece 75%
• Recommendation Method 50%
• Content Data 50%
• Heterogeneous Information Network 50%
• Copyright 25%
• Music Listening 25%
• Rich Content 25%
• User Behavior 25%
• Musical Preferences 25%
• Recommendation Approach 25%
• Qualitative Evaluation 25%
• Content Information 25%
• Deep Learning Methods 25%
• Music Playing 25%
• Textual Content 25%
• World music 25%
• Rich Context 25%
• Music Recommendation 25%
• Convolutional Neural Network 25%
• Quantitative Evaluation 25%
• Attention Mechanism 25%
• Feature Representation 25%
• Comprehensive Experiment 25%
• Sparse Data 25%
• Contextual Preferences 25%
• Low Dimension 25%
• Network Mechanism 25%
• Neural Attention 25%
• Metadata Tags 25%
• Personalized music 25%
• Music Database 25%
• Intrinsic Features 25%
• Embedding Model 25%
• Music Recommender Systems 25%

Computer Science

• Information Network 100%
• User Behavior 50%
• Recommender Systems 50%
• Content Information 50%
• Convolutional Neural Network 50%
• Attention (Machine Learning) 50%
• Textual Content 50%
• Side Information 50%
• Deep Learning Technique 50%