AI RESEARCH
Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
arXiv CS.AI
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ArXi:2601.11610v2 Announce Type: replace-cross Among the diverse services provided by Location-Based Social Networks (LBSNs), Next Point-of-Interest (POI) recommendation plays a crucial role in inferring user preferences from historical check-in trajectories. However, existing sequential and graph-based methods frequently neglect significant mobility variations across distinct contextual scenarios (e.g., tourists versus locals