Context-aware deep model for joint mobility and time prediction

• Main Authors: Chen, Yile, Long, Cheng, Cong, Gao, Li, Chenliang
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering::Information systems::Database management; Mobility; Time Prediction
• Online Access: https://hdl.handle.net/10356/148163
• Institution: Nanyang Technological University

Mobility prediction, which is to predict where a user will arrive based on the user's historical mobility records, has attracted much attention. We argue that it is more useful to know not only where but also when a user will arrive next in many scenarios such as targeted advertising and taxi s...