Research And Realization Of The Fairness Of IOS Social Name Recommendation Based On Real Names Of College Students

College students occupy a vital position in society.They represent the country's future and hope as a fresh blood of society.For those who are receiving higher education and do not enter society,socialization is becoming more and more important.The social characteristics of college students are mainly reflected in the communication between the class and the class,knowledge sharing within the college,communication through social software,etc.Although there are great opportunities to communicate with other excellent students in the school,these characteristics are To a large extent,it limits the cultivation of college students' social relationships and the sharing of knowledge resources.Research on the characteristics and status of undergraduate socialization found that opening up social channels between college students makes the sharing of knowledge and resources between colleges and colleges and between schools and schools a fundamental issue in the study of undergraduate socialization.In the period of high-speed development of information technology and the Internet,it has become the focus of research to study college students' social information overload.At this stage,both information consumers and information producers have encountered a big problem: For information consumers,finding information that they are interested in from overloaded information is a very difficult process;for information production For those involved,it is also a very difficult task to make the information they produce stand out from the crowd and get approval from the general users.The study of the recommendation system and the study of the fairness of the recommendation have become important research topics to solve this difficulty.Based on the research and implementation of the fairness of iOS college students' real name social recommendation,the entire project is implemented using the iOS operating system,the collaborative filter recommendation algorithm based on the similarity condition of the selected friends,and the modeling idea of software engineering.The first step is to understand the principle of guiding practice.Project needs,followed by modeling of requirements(scenarios,information,class analysis,processes,behaviors,patterns,and applications),and building architecture,component level,user interface,model-based,and software-based modeling and design thinking Design,and finally through the quality management software testing strategy to complete the system testing.This ensures the controllability of product quality,schedule,cost investment and risk in the software development process,improves the product development efficiency,and ensures the software's iterative,stability,and maintainability.The implementation of the product adopts the idea of module division and object-oriented development.The development of the module uses the factory mode,singleton mode,agent mode,and MVC mode design mode,which in turn reduces the coupling between modules and improves the reuse of lines.The later tests,extensions,and iterations were controlled and improved the development efficiency.The interaction between the client and data of this platform uses Java technology,Tomcat 7.0,MySQL database to build the server,optimize the data,and make the interaction between the client and the server more smooth.The project has realized four major design modules: homepage,discovery,conversation,and personal center.