Design of Intelligent Recommendation APP for Eco-tourism Routes Based on Popular Data Clustering of Points of Interest

In this paper, an intelligent recommendation APP for eco-tourism routes is designed based on the coefficient of interest points and popular data clustering algorithm. The design and implementation of a tourist route information recommendation system based on user interest point index is proposed, which includes hierarchical clustering, partition clustering, density clustering and grid clustering. A smart recommendation app for eco-tourism routes is designed, which can collect user behavior data based on POI coefficients, and then intelligently recommend eco-tourism routes to reduce users' expenses. Experimental data proves the feasibility of the App.