Next-stop recommendation to travelers according to their sequential wandering behaviors

This paper proposes a novel solution of route recommendation which makes recommendations of potential next-stops to the users based on their previous wandering behaviors. The proposed recommendation method matches the user's current wandering behavior with the set of popular route patterns. Sequential pattern mining methods are used to extract the popular route patterns from a large set of historical route database collected from previous users. A complete example is used to verify the effectiveness of the proposed solution.