User Interaction Log

User interaction logs, digital records of user actions within applications or systems, are crucial for understanding user behavior and improving system design. Current research focuses on efficiently processing and representing these often massive datasets, employing techniques like embedding models (e.g., matrix factorization, transformer encoders) to capture user history and compress data for improved model training and personalization. This work is significant for advancing personalized systems (e.g., chatbots, recommendation systems) and enabling process mining and automation through improved analysis of user interactions.