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With the popularization of travel, tourists¡® exploration of attraction information has become increasingly important.
Next point-of-interest (POI) recommendation systems aim to capture the contextual relationships of users historical behaviors and preferences.
The integration of spatiotemporal data has been identified as a crucial factor in improving the accuracy of POI recommendations. By considering both the spatial and temporal aspects of user behavior, these systems can better understand and accurately predict user preferences.
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IEEE/ICACT20260040 Slide.02
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