Predicting application usage based on latent contextual information

Keyphrases

• Contextual Information 100%
• Application Usage 100%
• Usage-based 100%
• Spatial Data 33%
• Graph Embedding 33%
• Usage Patterns 33%
• Mobile Users 33%
• Latent Representation 33%
• Representation Method 33%
• Usage Prediction 33%
• User Behavior 16%
• Prediction Method 16%
• Prediction Task 16%
• Machine Learning Models 16%
• Preference Pattern 16%
• Attention Layer 16%
• Deep Learning Framework 16%
• Username 16%
• Personalized Service 16%
• Temporal Context 16%
• System Resources 16%
• Information Context 16%
• Softmax Layer 16%
• Mobile Power Consumption 16%
• Learning State 16%
• Multimodal Embedding 16%
• Gated Recurrent Unit 16%
• Application Prediction 16%
• Mobile Systems 16%
• Consumption System 16%
• Resource Optimization 16%
• User Device 16%

Computer Science

• Contextual Information 100%
• Representation Method 66%
• Spatial Information 66%
• User Behavior 33%
• Collected Data 33%
• And-States 33%
• Learning Framework 33%
• Attention (Machine Learning) 33%
• Energy Consumption 33%
• Resource Management System 33%
• Gated Recurrent Unit 33%
• Proposed Application 33%
• personalized service 33%
• Temporal Context 33%
• Machine Learning 33%
• Learning System 33%
• Deep Learning Method 33%
• Softmax Layer 33%