Context-Aware Service Recommendation for Moving Connected Devices

Abstract

Finding and recommending suitable services for moving, connected devices are increasingly important due to the popularity of mobile Internet. While recent research has attempted to use role-based approaches to recommend services, role discovery is still an ongoing research topic. This paper proposes a simple and yet efficient, matrix-based, context-aware role mining method to automatically group users according to their interests and habits. Using a question-based approach, we also allow popular mobile services to be recommended to other members in the same group in a context dependent.