Design and Research of Intelligent Recommendation and Management System for Scenic Spots Based on Mobile Platform

to further meet the needs of tourists in the scenic area and make the whole journey of the scenic area more intelligent, humanized and refined, this paper designs and implements a scenic area intelligent recommendation and management service system under Android platform, based on the existing personalized recommendation research. According to the design scheme, we implement each function module of the system, and realize the specific functions from the server and the mobile terminal. The core intelligent recommendation module analyzes the customer’s behavior by obtaining the location and other situational information, using the hybrid content recommendation and personalized recommendation technology. It adopts the weighted average method to calculate the user’s interest. Finally, this paper develops and tests the smart tourism system based on Android development platform, and the results show that the smart tourism system of the mobile platform basically achieves the expected goal and runs stably.