Context-Aware Recommendation in Smart Cars
Recent efforts to provide context-aware services in smart cars have mainly focused on keeping drivers safe and easing drivers inconvenience. We propose a context-aware recommendation system that provides various types of information on head-up displays. The system exploits recommendation algorithms that are based on user activity logs represented by graphs, and we apply some heuristics to improve their performance. We show that they meet some key requirements for smart car environments through a pilot application.