Data augmentation for next point-of-interest recommendation

• Main Author: Sze, Gabriel
• Other Authors: Zhang Jie
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/157078
• Institution: Nanyang Technological University

The problem of where to go next has been highly studied and coined as next or successive Point-Of-Interest (POI) recommendation. In essence, using historical data and drawing contextual inferences, an algorithm or model may be able to predict where a user may be interested to go next. These data are...