A Transformer-based model that factorizes POI attribution into individual trajectory context and crowd-level spatiotemporal patterns, reporting accuracy gains over baselines on synthetic and real mobility datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
A Transformer-based model that factorizes POI attribution into individual trajectory context and crowd-level spatiotemporal patterns, reporting accuracy gains over baselines on synthetic and real mobility datasets.