Research And Design Of Campus Interactive Management Platform Based On Personalized Recommendation

With the coming of intelligent information age,campus students pay more and more attention to the efficiency of obtaining information.At present,college students need to obtain all kinds of information on different apps and platforms,which causes certain limitations for college students to obtain information.In the era of information explosion,it is necessary to quickly find their own useful information to improve the quality of life.Therefore,it is necessary to build an interactive management platform for campus students based on personalized recommendation,which integrates lost and found,making friends,experience exchange and business transactions.This platform uses personalized recommendation algorithm to provide personalized services for each student,so that users can quickly find the information they are interested in,and then improve the efficiency of college students to obtain information.Based on this platform,users can purchase products,collect products,add shopping cart,deliver goods and other functions.Campus information can be released to help students understand the school hot spots and promote the exchange of college students.At the same time,set up a second-hand market module to help students deal with idle items.Build the graduation hot plate to help graduates understand the latest social trends faster and better.The online communication section helps students communicate better,achieve instant messaging,understand the preferences of different students,so as to promote the comprehensive development of students and strengthen cooperation and exchange.At the same time,in order to achieve the accurate docking of students’ information,personalized recommendation technology is applied to the platform.According to users’ preferences and specific needs,the information they may be interested in is recommended,so as to improve the user experience and promote the campus digital management.The main work of this thesis is as follows(1)A hybrid recommendation algorithm is proposed,which combines LDA topic model with collaborative filtering recommendation algorithmBy studying and comparing the basic principles of various recommendation algorithms,this thesis analyzes the problems of recommendation algorithms in the campus interactive management platform,and then proposes a new hybrid recommendation algorithm.The algorithm will use LDA topic model modeling,and cluster fill the user rating matrix according to collaborative filtering algorithm,which can effectively alleviate the sparsity problem of matrix rating and improve the accuracy of recommendation.(2)The design and implementation of the campus interactive management platformAccording to the software development process,using the object-oriented method,starting from the function,behavior and data,the campus interactive management platform is designed,implemented and tested.First of all,through some interviews and questionnaires,we can accurately understand the specific requirements of users and projects,such as function,performance,reliability and so on,and transform the user’s non formal requirements into a complete definition of requirements;The system technology,management and legal feasibility of a detailed analysis,so as to verify the feasibility of the system.Using the modular and hierarchical design idea,the platform architecture construction scheme is designed.Secondly,SSH open framework is used to realize the interactive management platform of campus students.SSH framework is a typical three-tier architecture,which embodies MVC design ideas,and can reduce the burden and energy of developers to re-establish solutions to complex problems.It is convenient for agile development to meet new requirements and reduce development time and cost.Finally,the function,performance and page of the student interaction management platform are tested,mainly including the function completion,fault tolerance test,and the results are analyzed.