Data augmentation for next point-of-interest recommendation
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157078 |