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Employs graph embedding to construct a POI relationship graph based on user check-in sequences. By utilizing the skip-gram model, captures implicit connections between POIs.
Integrates different temporal features, considering daily, weekly, and monthly patterns, enhances the ability to reflect evolving user preferences over different time periods.
Adopts a grid-based spatial embedding to captures spatial dependencies more effectively and improves POI representation.
Using a transformer-based model to better predict user preferences.
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