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

Point Of Interest (POI) data collector script

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

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

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

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

Successive Point-of-Interest Recommendation

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI 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

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...)

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

Learning robust travel preferences via check-in masking for next POI recommendation

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

This program pulls exclusevly motorcycle dealer data from OpenStreetMap using the Overpass Turbo API. Pulled data is converted to Points of Interest (POI)

Pulls data from OpenStreetMap using the Overpass Turbo API and creates Points of Interest in KML / GPX / GPI format.