User Preference Awareness in City Traveler Helper System Based on Naïve Bayes Classification

City traveler helper system (Wang and Qi, 2008) presented in our previous work is an application of location based service to aim at providing a comprehensive information service for exotic travelers. A potential problem of the system is that when the information database grows to a large scale, one location input would trigger a lot of relative information pushed to the client user to become very intrusive. In this paper, a new design concept based on Naive Bayes Classification algorithm is proposed by adding an information classification process into the system. This proposed new system aims to be approximately user preference aware and minimally intrusive.