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Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
March 20, 2024, 4:42 a.m. | Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
cs.LG updates on arXiv.org arxiv.org
Abstract: Next Point-of-Interests (POIs) recommendation task aims to provide a dynamic ranking of POIs based on users' current check-in trajectories. The recommendation performance of this task is contingent upon a comprehensive understanding of users' personalized behavioral patterns through Location-based Social Networks (LBSNs) data. While prior studies have adeptly captured sequential patterns and transitional relationships within users' check-in trajectories, a noticeable gap persists in devising a mechanism for discerning specialized behavioral patterns during distinct time slots, such …
abstract arxiv check cs.ai cs.ir cs.lg current data dynamic location mobility networks next patterns performance personalized prior ranking recommendation social social networks through tree type understanding via
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