AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion
Journal:
arXiv
Published Date:
Jan 23, 2025
Abstract
This demo paper presents \airtown, a privacy-preserving mobile application
that provides real-time, pollution-aware recommendations for points of interest
(POIs) in urban environments. By combining real-time Air Quality Index (AQI)
data with user preferences, the proposed system aims to help users make
health-conscious decisions about the locations they visit. The application
utilizes collaborative filtering for personalized suggestions, and federated
learning for privacy protection, and integrates AQI data from sensor networks
in cities such as Bari, Italy, and Cork, UK. In areas with sparse sensor
coverage, interpolation techniques approximate AQI values, ensuring broad
applicability. This system offers a poromsing, health-oriented POI
recommendation solution that adapts dynamically to current urban air quality
conditions while safeguarding user privacy.
