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Implementation of Personalized Scenic Spots Route Recommendation System

Many route recommendation algorithms have been presented recently, and it is necessary to consider users' personalized preferences in the recommendation. In this paper, we build a personalized spots route recommendation system based on scenic spots around Xiamen University in order to make personalized recommendations for users. The system mainly consists of two parts, which are the construction of system and the implementation of personalized route recommendation algorithm. In the experiment, we analyze the efficiency of two algorithms and compare the recommended routes with each other under different user preferences or different constraints.