Context-Aware Service Recommendation System for Smart Environments

Abstract

Smart environments require personalized service provisioning based on user context and environmental conditions. However, fragmented data sources complicate accurate context modeling. This paper proposes a context-aware service recommendation system that integrates sensor data processing, user behavior analysis, and rule-based decision mechanisms. The system dynamically adjusts service strategies according to changing conditions. Evaluation results demonstrate improved user experience and service efficiency.