Design And Implementation Of Wuhan Red Tourism Platform Based On User Recommendation Algorithm

With the promotion of patriotic education activities,tourism activities with the theme of red culture have emerged and continued to develop.Red tourism can well demonstrate the positive role of red culture and has a promising future.Wuhan is a hot red land with a glorious revolutionary tradition.From the Xinhai Revolution in Wuchang to the founding of New China,Wuhan City made important contributions to the victory of the Chinese revolution.Based on the analysis of Wuhan’s red tourism resources,we have designed and implemented a network platform to showcase Wuhan’s red tourism resources,red tourism routes,and red culture,aiming to promote the development of red tourism and the Internet,while also encouraging us in the era of peace not to forget our original intentions and continue to move forward.In this paper,the tourist’s own attribute information is combined with the traditional collaborative filtering algorithm,and the results calculated by the algorithm are combined with the ant colony algorithm and applied to the research and development of Wuhan red tourism recommendation platform,which can not only recommend tourist attractions for users,but also The user’s rating of the attractions helps the user to plan the travel route,simplifies the user’s preparation work,and meets the individual needs of different users.Specifically,the research work of this paper is as follows:(1)A recommendation scoring method for target attractions based on background information is proposed.This method first uses the user’s background information(including age,gender,income level,occupation,etc.),uses a demographic similarity model,and establishes a user-relationship matrix to obtain users with similar background information to the target user.,and calculate the recommendation score of the target user for the target scenic spot.This method effectively solves the problem of the sparsity of the feature vectors of the tail scenic spots in the collaborative filtering algorithm and the problem that new users cannot be recommended by the collaborative filtering algorithm.(2)Aiming at the shortcomings of the current ant colony algorithm in scenic spot route planning,an improved ant colony algorithm based on scenic spot attribute data is proposed.Improve user satisfaction.(3)Design and implementation of red tourism recommendation platform in Wuhan.The platform client uses Vue and Element UI to realize seven main functions of user registration and login,personal information query and modification,scenic spot recommendation,route recommendation,red spirit learning and user comment.The route recommendation adopts the improved ant colony algorithm based on scenic spot attribute data,and displays the recommended scenic spots and routes on the front-end interface based on the Gaode map API,so that users can easily understand the detailed content of scenic spots and tourist routes.The backend of the platform adopts the SSM(Spring+Spring MVC+Mybatis)framework,and the database uses My Sql to implement and manage functions such as user registration and login,user management,scenic spot details,and user comments.Finally,the platform is tested,and the results show that the platform can reasonably recommend the tourist attractions and travel routes that users want to go to,all modules have reached the design goals,and the platform can operate normally.