Inferring contextual preferences using deep encoder-decoder learners

Keyphrases

• Encoder-decoder 100%
• Contextual Situation 100%
• Deep Autoencoder 100%
• Contextual Preferences 100%
• Item Category 66%
• Recommender Systems 33%
• Mobile Devices 33%
• Prediction Accuracy 33%
• High-dimensional Data 33%
• Sensor Data 33%
• Online Advertising 33%
• Online Environment 33%
• Classification Methods 33%
• Contextual Features 33%
• Context-aware Recommender Systems 33%
• User Context 33%
• Personalized Service 33%
• Deep Learner 33%
• Latent Representation 33%
• Mobile Phone Sensors 33%
• Dynamic Preferences 33%
• Art Classification 33%
• Mobile Sensor Data 33%
• Long Short-term Memory Network 33%
• Internet of Healthcare Things (IoHT) 33%
• Latent Patterns 33%
• Autoencoder 33%
• Context-aware Systems 33%
• User Dynamics 33%
• Sensor Log 33%

Computer Science

• Recommender Systems 100%
• Mobile Device 50%
• High Dimensional Data 50%
• Prediction Accuracy 50%
• Research Effort 50%
• Mobile Sensor 50%
• Discovered Pattern 50%
• Classification Method 50%
• Points of Interest 50%
• personalized service 50%
• Long Short-Term Memory Networks 50%