User Profile

User profiles are representations of individual user characteristics and preferences, crucial for personalizing interactions with technology, particularly in recommendation systems and large language models (LLMs). Current research focuses on developing efficient and adaptable methods for creating and utilizing these profiles, including self-supervised learning, collaborative filtering, and parameter-efficient fine-tuning of LLMs, often incorporating both textual and visual data. This work aims to improve personalization accuracy, address cold-start problems, and enhance user experience across diverse applications, ranging from social media recommendations to human-robot interaction.