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Collaborative Research: SaTC: CORE: Small: Toward Personalized and Trustworthy Mobile App Recommendations via Grounding App Behaviors
Siddique, Muhammad Abu Bakar
(PI)
Computer Science
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Computer Science
Mobile App
100%
Collaboration
100%
Artificial Intelligence
60%
Program Analysis
60%
Deep Reinforcement Learning
60%
Static Program Analysis
40%
Learning Framework
40%
Security and Privacy
40%
User Satisfaction
20%
Recommender Systems
20%
System Behavior
20%
User Preference
20%
Security Concern
20%
Privacy Threat
20%
Learning Agent
20%
User Interaction
20%