Design And Implementation Of Volunteer Filling System Based On Multi-source Heterogeneous Data Page Rendering

With the reform of the new college entrance examination system,the voluntary filling in of college entrance examination has been paid great attention by every student family and even the public.Based on the existence of a series of problems such as "high score and low admission" and "high score not learning",the college entrance examination assisted voluntary filling system emerged,which provides convenience for more and more students and parents,and is accepted by the majority of students.However,the accuracy of data,user experience of the platform and the loading speed of the page have different degrees of problems.It can not use each score accurately and reasonably,which has a certain impact on the students' voluntary filling in college entrance examination.Through the students' demand investigation and comparative analysis of the college entrance examination voluntary filling system,the accurate and friendly page design and comfortable interaction of the data can improve the user's interest.In the era of network prevalence,page loading time is more than four seconds,and one-quarter of users will be lost.In the high concurrent period of college entrance examination voluntary filling,there is a higher demand for page loading performance.Based on wechat public platform,this paper designs and implements a voluntary filling system based on multi-source heterogeneous data page rendering,which can browse the scores and basic conditions of the school;query the scores of the major;make voluntary filling prediction according to the scores entered and the region;share the experience of sharing the filling and filling;understand the latest policy information of the college entrance examination;evaluate the appropriate professional profession and other functions The development and perfection of the module.On the basis of the function module test tuning,the system is optimized by using HTML optimization,CSS optimization,Java Script optimization,picture optimization and server-side optimization.As the most direct way to convey human emotion,pictures are widely used in web pages and app applications,and HTTP requests are sent during each picture request process.Therefore,the loading speed of pictures plays an important role in the performance and loading time of the system.In the process of picture optimization,for the college entrance examination volunteer filling scene,the paper compares the experiment with CSS sprites,preload,lazy loading and technology integration,and summarizes the user behavior loading data technology which combines CSS sprites,preload and lazy loading technology,which is the most suitable scheme for the scene of college entrance examination voluntary filling system.The system adopts a variety of optimization technologies to study how to improve the data quality,speed up the page loading speed,improve the page usability and interaction,achieve page performance optimization,improve user experience,and recommend more reasonable institutions for users in the front-end field.