Spatial Hierarchical Meta-Learning for Single-Point Map Matching
Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan and Shuliang Wang.
in Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Recommended citation: Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan and Shuliang Wang. 2025. Spatial Hierarchical Meta-Learning for Single-Point Map Matching. In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'25). Association for Computing Machinery, New York, NY, USA, 2455–2465.
URL: https://doi.org/10.1145/3711896.3737133
SHSMM leverages gradient-based meta-learning to unify region-specific heterogeneity and cross-task commonality for single-point map matching in location-based services.