Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling
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DOI: 10.1109/tkde.2016.2637898
Abstract: In this paper, we detect communities from trajectories. Existing algorithms for trajectory clustering usually rely on simplex representation and a single proximity-related metric. Unfortunately, additional information markers (e.g., social interactions or semantics in the spatial… read more here.
Keywords: information; recommendation; diffusion; community ... See more keywords