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Multi-granular approach to learn user mobility preferences for next Point-of-Interest recommendation
L Cai, S Wu, H Li, Y Liang - Expert Systems with Applications, 2025 - Elsevier
As a popular research topic in recommendation systems, the next Point of Interest (POI)
recommendation aims to discover users' personalized preferences based on their recent …
recommendation aims to discover users' personalized preferences based on their recent …
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 …
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Effective spatio-temporal prediction frameworks play a crucial role in urban sensing
applications, including traffic analysis, human mobility behavior modeling, and citywide …
applications, including traffic analysis, human mobility behavior modeling, and citywide …
[HTML][HTML] A Tour Recommendation System Considering Implicit and Dynamic Information
CY Tsai, KW Chuang, HY Jen, H Huang - Applied Sciences, 2024 - mdpi.com
Tourism has become one of the world's largest service industries. Due to the rapid
development of social media, more people like self-guided tours than package itineraries …
development of social media, more people like self-guided tours than package itineraries …