A survey on graph neural network-based next POI recommendation for smart cities
J Yu, L Guo, J Zhang, G Wang - Journal of Reliable Intelligent …, 2024 - Springer
Amid the rise of mobile technologies and Location-Based Social Networks (LBSNs), there's
an escalating demand for personalized Point-of-Interest (POI) recommendations. Especially …
an escalating demand for personalized Point-of-Interest (POI) recommendations. Especially …
Kernel-based substructure exploration for next POI recommendation
Point-of-Interest (POI) recommendation, which benefits from the proliferation of GPS-
enabled devices and location-based social networks (LBSNs), plays an increasingly …
enabled devices and location-based social networks (LBSNs), plays an increasingly …
Siamese learning based on graph differential equation for Next-POI recommendation
Abstract Next Point-of-Interest (POI) recommendation is highly challenging in its ill-
posedness of data sparsity and elusive motives. Many models, including sequence-and …
posedness of data sparsity and elusive motives. Many models, including sequence-and …
Next location prediction using heterogeneous graph-based fusion network with physical and social awareness
Location prediction based on social media information is highly valuable in human mobility
research and has multiple real-life applications. However, existing research methods often …
research and has multiple real-life applications. However, existing research methods often …
A Next POI Recommendation Based on Graph Convolutional Network by Adaptive Time Patterns
J Wu, S Jiang, L Shi - Electronics, 2023 - mdpi.com
Users' activities in location-based social networks (LBSNs) can be naturally transformed into
graph structural data, and more advanced graph representation learning techniques can be …
graph structural data, and more advanced graph representation learning techniques can be …
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
The widespread adoption of smartphones and Location-Based Social Networks has led to a
massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing …
massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing …
[PDF][PDF] 基于图神经网络的兴趣点推荐的隐私保护框架
江欣俞， 李晓会， 秦若婷， 张爱 - 科学技术与工程, 2023 - stae.com.cn
摘要传统的基于图神经网络的兴趣点模型的研究是通过简单的注意力机制进行权重定义,
或仅仅将多种因素简单进行线性组合, 缺乏从多角度考虑用户和兴趣点自身的语义信息和交互 …
或仅仅将多种因素简单进行线性组合, 缺乏从多角度考虑用户和兴趣点自身的语义信息和交互 …