PLM4Traj: Cognizing Movement Patterns and Travel Purposes from
Trajectories with Pre-trained Language Models
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from
Trajectories with Pre-trained Language Models
Spatio-temporal trajectories play a vital role in various spatio-temporal data mining tasks. Developing a versatile trajectory learning approach that can adapt to different tasks while ensuring high accuracy is crucial. This requires effectively extracting movement patterns and travel purposes embedded in trajectories. However, this task is challenging due to limitations …