Data augmentation for next point-of-interest recommendation

• المؤلف الرئيسي: Sze, Gabriel
• مؤلفون آخرون: Zhang Jie
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/157078

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...