2026
Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract)
AAAI 2026technical
We study when users end a session on X using high-resolution interaction logs from 215 US participants collected over four weeks. Sessions are defined via data-driven inter-activity gaps, and each session is encoded by fine-grained activity counts and duration (versus a simple activity ratio baselin