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"

Point Of Interest (POI) data collector script

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

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

RealityKit integration of ARKit-Corelocation Library

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

[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

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

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems (Wongso et al., 2024)

The workbench for designing and executing POI workflows

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