CRUISEResearchGroup/Massive-STEPS-Beijing

Massive-STEPS是一个大规模的语义轨迹数据集，旨在理解兴趣点（POI）签到行为。数据集来源于语义轨迹数据集和Foursquare开源地点数据，包括来自10个国家15个城市的签到数据。该数据集旨在促进轨迹预测、POI推荐和城市建模等研究领域的研究。数据集强调地理多样性、规模、语义丰富性和可重复性。

Massive-STEPS is a large-scale dataset of semantic trajectories intended for understanding POI check-ins. The dataset is derived from the Semantic Trails Dataset and Foursquare Open Source Places, and includes check-in data from 15 cities across 10 countries. The dataset is designed to facilitate research in various domains, including trajectory prediction, POI recommendation, and urban modeling. Massive-STEPS emphasizes the importance of geographical diversity, scale, semantic richness, and reproducibility in trajectory datasets.