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A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals

By Zhu Sun and others
Current study on next POI recommendation mainly explores user sequential transitions with the fine-grained individual-user POI check-in trajectories only, which suffers from the severe check-in data sparsity issue. In fact, coarse-grained signals (i.e., region- and global-level check-ins) in such sparse check-ins would also benefit to augment user preference learning. Specifically,... Show more
September 1, 2022
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A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
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