Next Activity Prediction

Next activity prediction focuses on forecasting the subsequent actions within a sequence, whether in business processes, video analysis, or user interactions. Research heavily utilizes deep learning architectures, such as transformers and LSTMs, often incorporating attention mechanisms to weigh the importance of past events and leverage semantic information for improved accuracy. This field is significant for optimizing resource allocation, personalizing user experiences, and enhancing decision-making across diverse domains, from business process management to medical treatment and recommendation systems. Current challenges include improving generalization to unseen data and addressing the inherent uncertainty in predicting future actions.