There are 0 repository under point-of-interest topic.
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
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
[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
Geodata repository
LocEmb: Location Embedding (Currently covering districts, roads, and businesses in Korea)
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI 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)
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.
Some info about my personal file server.
Point of interest app displaying football fields in your area. Made with Flutter.
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.
[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.
Identifying Commercial markets using POI
An Online form to collect data
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)
Learning robust travel preferences via check-in masking for next POI recommendation
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.
Simple iOS app to search for points of interest on map
Using the provided dataset of over one-and-a-half million place entries, heavily altered to include noise, duplications, extraneous, or incorrect information, the objective is to produce an algorithm that predicts which place entries represent the same point of interest (POI).
Android application for sharing and creating Points of Interest (ΣΥΓΧΡΟΝΑ ΘΕΜΑΤΑ ΤΕΧΝΟΛΟΓΙΑΣ ΛΟΓΙΣΜΙΚΟΥ - ΛΟΓΙΣΜΙΚΟ ΓΙΑ ΚΙΝΗΤΕΣ ΣΥΣΚΕΥΕΣ)