New method uses knowledge graphs for trajectory-user linking

Researchers have introduced MakeTUL, a novel approach to Trajectory-User Linking (TUL) that leverages multi-relational knowledge graphs. This method aims to identify the owner of an anonymous trajectory by incorporating visit-time, POI-category, and transfer-speed information into a knowledge graph representation. MakeTUL enriches POI representations with high-order co-occurrence patterns and integrates these with temporal and category data to capture ordered mobility patterns, thereby improving user mobility analysis and personalized services. AI

IMPACT This research introduces a novel method for trajectory-user linking, potentially improving personalized location-based services and mobility analysis.

RANK_REASON The cluster contains a research paper submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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