The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Point Of Interest (POI) data collector script

Successive Point-of-Interest Recommendation

Python library to extract roads network on Open Street Map (and POIs) in order to create a graph with graph-tools and/or computing shortest paths and isochrones

[SIGIR 2023] EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation

Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"

Turtlebot2 MAP-based navigation with Point-of-Interest coverage by set of mobile robots.

STaTRL: Spatial-Temporal and Text Representation Learning for POI recommendation, Applied Intelligence 2023.

Geographic Python library to extract Open Street Map roads (and POIs) from a location or a bounding box, in order to create a graph thanks to Rustworkx. OsmRx is able to clean a network based on Linestring geometries and connect Point geometries. The graph built is able to process graph-analysis (shortest-path, isochrones...)