User Profiling

User profiling aims to create accurate representations of individuals based on their digital interactions, primarily to personalize experiences and improve services like recommendations and targeted advertising. Current research emphasizes dynamic user embeddings using transformer models and reinforcement learning to filter relevant data, focusing on improving the accuracy and efficiency of profile creation while mitigating biases and privacy concerns. This field is crucial for advancing personalized AI systems across various domains, from social media and e-commerce to cybersecurity and education, but also necessitates careful consideration of ethical implications and privacy preservation.