Design and Implementation of Visual Analysis System for Tourist Attrac-tions Based on Collaborative Filtering Algorithm
With the promotion of digital reform and digital economy,digital transformation ena-bles tourism enterprises to collect and analyze a large amount of data,thereby better understand-ing consumer needs and preferences.Tourists can also obtain better tourism experiences through big data analysis.This system uses collaborative filtering recommendation algorithms to compre-hensively analyze user rating data and similarity between users of tourist attractions,and uses collaborative filtering algorithms to recommend tourist attractions.The algorithm considers the user's ratings and preferences for other attractions,combined with similar user behavior pat-terns,to provide personalized tourist attraction recommendations for users.At the same time,u-tilizing the visualization charts,maps,etc.provided by the Echarts framework to visually display user ratings and recommended attractions,saving users time and providing a good user experi-ence;The backend of the system adopts the Spring Boot framework,while the frontend is devel-oped using Vue and Element UI frameworks.