Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt

已完结 10 由 aaa 发布于 2026/5/11 14:54:35

DOI:10.1109/TKDE.2025.3545958
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/TKDE.2025.3545958

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Next POI (Point-of-Interest) recommendation aims to forecast users’ future movements based on their historical check-in trajectories, holding significant value in location-based services. Ex

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierMulti-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China