Mirador makes it easy to build impressive “Point of Interest” AR experiences, on Apple's new RealityKit framework.

NavAR is a location based augmented reality navigation application for Android. It features AR powered Point of Interest Browser and a real-time AR navigation system , assisting you while on a drive.

Summary of Spatio-Temporal Representation Learning Models.

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

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

Point Of Interest (POI) data collector script

RealityKit integration of ARKit-Corelocation Library

An Mapbox and ViroReact integration to navigate to a POI using Augmented Reality

A local mapping project using data from OpenStreetMap. Includes overlays, walking directions and historical information.

[SIGSPATIAL 2025] GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems

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

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks

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

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

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

Geodata repository

LocEmb: Location Embedding (Currently covering districts, roads, and businesses in Korea)

Successive Point-of-Interest Recommendation

Automatically add waypoints on a GPX route

The workbench for designing and executing POI workflows

Learning robust travel preferences via check-in masking 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...)

Busyness Graph Neural Network (BysGNN): A framework for accurate Point-of-Interest visit forecasting using dynamic graphs that capture spatial, temporal, semantic, and taxonomic contexts. Presented at ACM SIGSPATIAL 2023, this repository includes code, baselines, and experiments.

Point of interest app displaying football fields in your area. Made with Flutter.

Some info about my personal file server.

Identifying Commercial markets using POI

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

Land Use Dataset for NO2 pollution in Berlin (2023) – hourly pollution for 16 stations (2023) + hourly meteorological data (n= 6) + point-of-interest features for measuring sites (inc. traffic, greenery, street canyon, population)