Context-aware next point-of-interest recommendation with uncertain check-ins
The rapid development of next point-of-interest (POI) recommendation benefits from a large number of check-ins shared by users in location-based social networks (LBSNs), such as Foursquare and Yelp, which helps users explore their surroundings. Accordingly, most existing studies assume that such che...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/160400 |
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Institution: | Nanyang Technological University |
Language: | English |