A Context-Aware Adaptive Tourist Recommendation System

Abstract

Tourist recommendation systems have been assisting tourists to select their preferred attractions or destinations based on some specified criteria. However, once a recommendation is made, it is unchanged until the travel plan is executed. Some changes occuring before the travel begins may trigger tourist disappointment because the changes may render the plan unexecutable. We propose a solution using a context-aware mechanism. Context-awareness binds some affecting factors to the computation of recommendation, making it sensible and adaptive to any changes. A prototype implementation is also discussed.