基于实时空气质量的隐私保护景点推荐应用
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion
- 结合用户偏好与实时空气指数做个性化推荐
- 采用联邦学习保护隐私，支持跨城市数据融合
- 适合关注健康出行的都市人群使用
本演示论文介绍了一款名为AirTOWN的隐私保护型移动应用，可为城市环境中的兴趣点（POI）提供实时污染感知推荐。系统融合实时空气质量指数（AQI）数据与用户偏好，帮助用户做出更健康的出行决策。应用采用协同过滤实现个性化推荐，并通过联邦学习保障用户隐私，集成意大利巴里和英国科克等城市的传感器网络数据。在传感器覆盖稀疏区域，采用插值技术估算AQI值，确保广泛适用性。该系统提供了一种动态响应当前城市空气质量、兼顾隐私保护的健康导向POI推荐方案。
原文摘要 · Abstract (English)
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.
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