[SIGIR 2023] EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation
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Updated
May 23, 2024 - Python
[SIGIR 2023] EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation
[PAKDD 2019] Code for "Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction"
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...)
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
The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
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
Turtlebot2 MAP-based navigation with Point-of-Interest coverage by set of mobile robots.
Successive Point-of-Interest Recommendation
Point Of Interest (POI) data collector script
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