Recommending personalized scenic itinerarywith geo-tagged photos

Applications with geo-tagged photos have drawn lots of attentions in recent years. However, most previous works consider the GPS information of each photo individually to improve the metadata of the corresponding photo. In this paper, we leverage GPS data in a series of scenic photos and propose the personalized scenic itinerary recommendation system. Our system provides personalized suggestion of a sequence of following visiting spots when each user takes the photo of the current scenic spot. The recommendation is based on the data mining techniques to extract and differentiate the preferences of various users. Our system is designed to provide a new location service for geo-tagged photo management.