A novel recommendation system for the personalized smart tourism route: Design and implementation

Abstract

This paper sets its focus on the online recommendation system of travel routes by analyzing its current inadequacies. In an integrated application of geographic information system, data mining plus personalized recommendation technology and the Web GIS technology, a novel personalized smart system was designed and implemented based on feature data of both users and attractions. Especially this algorithm is highlighted at its solving process of the optimum travel route, that is, within a specified time period users may spend the least travel cost (the most economical budget/the most reasonable itinerary/the shortest distance) to reach as many destinations of interest as possible.