基于空气质量数据，实时推荐健康友好型城市景点。
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion
- 融合实时空气质量与用户偏好，实现个性化推荐。
- 采用联邦学习保护隐私，支持跨城市数据协作。
- 适用于关注空气污染的城市居民和健康出行者。
本文介绍AirSense-R，一款隐私保护的移动应用，可为城市兴趣点（POIs）提供实时污染感知推荐。系统整合意大利巴里与爱尔兰科克两地AirSENCE传感器网络的实时空气质量数据，结合用户偏好，支持健康导向决策。采用协同过滤进行个性化推荐，通过联邦学习保障隐私安全，并借助预测引擎检测异常值、填补稀疏传感器数据。该方案能动态适应城市空气质量变化，同时保护用户隐私。代码与演示视频详见https://github.com/AirtownApp/Airtown-Application.git。
原文摘要 · Abstract (English)
This demo paper introduces AirSense-R, a privacy-preserving mobile application that delivers real-time, pollution-aware recommendations for urban points of interest (POIs). By merging live air quality data from AirSENCE sensor networks in Bari (Italy) and Cork (Ireland) with user preferences, the system enables health-conscious decision-making. It employs collaborative filtering for personalization, federated learning for privacy, and a prediction engine to detect anomalies and interpolate sparse sensor data. The proposed solution adapts dynamically to urban air quality while safeguarding user privacy. The code and demonstration video are available at https://github.com/AirtownApp/Airtown-Application.git.
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