A heterogeneous hidden Markov model for mobile app recommendation

Keyphrases

• Stamping 100%
• Hidden Markov Model 100%
• Mobile Recommendation 100%
• Smartphone Users 100%
• Mobile Application 50%
• Social Networks 50%
• High Performance 50%
• Collaborative Filtering 50%
• Gibbs Sampling 50%
• Smartphone 50%
• User Behavior 50%
• Facebook 50%
• Sequential Pattern 50%
• Area under the ROC Curve 50%
• Emissions Distribution 50%
• Random Choice 50%
• Keyword Suggestion 50%
• Real-time Recommendation 50%
• Coherent Model 50%
• Data Sparsity 50%
• App Recommendation 50%
• In-context 50%
• Keyword Search 50%
• Friend Network 50%
• Data Incompleteness 50%

Computer Science

• Smartphone 100%
• Mobile App 100%
• Social Network 33%
• Facebook 33%
• Collaborative Filtering 33%
• Gibbs Free Energy 33%
• Just-in-Time 33%
• Sparsity 33%
• User Behavior 33%
• Keyword Search 33%
• Sequential Pattern 33%
• App Installation 33%

Engineering

• Smartphone 100%
• Mobile App 100%
• Filtration 33%
• Sparsity 33%
• Gibbs Free Energy 33%