LLM-UM: The 1st Workshop on Large Language Model Using Multi-modal Data for User Modeling

Web-based user modeling is important because it enables personalized experiences by analyzing users' online behavior, preferences, and interactions, allowing systems to deliver tailored content, recommendations, and services in real-time. The workshop will explore cutting-edge approaches to enhancing user models through the integration of diverse data modalities. The discussions will begin with an introduction to the fundamental concepts of large language models (LLMs), including their architectures and applications in user-centric systems. The workshop will also introduce important ethical and technical considerations surrounding multi-modal data use. Issues such as data bias, privacy concerns, and the ethical implications of modeling users based on extensive personal data will be thoroughly examined. Additionally, the workshop will focus on future trends and innovations in the field, including emerging modalities like AR/VR data and the growing importance of real-time adaptation in user models. A discussion will provide an opportunity for collaboration, allowing participants to share their own experiences, challenges, and ideas for pushing the boundaries of multi-modal LLMs in user modeling.