Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation
In location-based social networks, calibrating a point-of-interest (POI) recommendation
system is as important as its accuracy for improving user satisfaction. POI recommendation …
system is as important as its accuracy for improving user satisfaction. POI recommendation …
Predicting future location categories of users in a large social platform
Understanding the users' patterns of visiting various location categories can help online
platforms improve content personalization and user experiences. Current literature on …
platforms improve content personalization and user experiences. Current literature on …
EPT-GCN: Edge propagation-based time-aware graph convolution network for POI recommendation
In location-based social networks (LBSNs), point-of-interest (POI) recommendation systems
help users identify unvisited POIs by filtering large amounts of information. Accurate POI …
help users identify unvisited POIs by filtering large amounts of information. Accurate POI …
GN-GCN: combining geographical neighbor concept with graph convolution network for POI recommendation
Abstract Point-of-interest (POI) recommendation helps users filter information and discover
their interests. In recent years, graph convolution network (GCN)–based methods have …
their interests. In recent years, graph convolution network (GCN)–based methods have …