| With the rapid development of the Internet era,online education reduces the waste of paper,provides a huge amount of content,and it is more rich,convenient and flexible.The quality and efficiency of network intelligent information processing promote the reform of online education.This paper designs and implements a bilingual promotion platform based on vue.js.It includes the core scheme and technology,aiming at the problems existing in the current online education platform,such as unclear knowledge network,no adaptive structure,which lead to low promotion efficiency,this paper improves the efficiency of online education platform.At the same time,it optimizes the loading of large amount of resources,such as long request time,high network load,slow Web page opening speed,blank screen,dislocation and so on.Based on the above research,the bilingual promotion platform is improved.By summarizing the current situation of Web loading and bilingual reading platform,this paper points out that the existing platform knowledge network is not clear,there is no compliance structure,which leads to low efficiency,and too many resources lead to slow Web loading;Based on the theory,a bilingual promotion platform based on vue.js is designed and implemented.This paper describes the overall system analysis of the platform,puts forward the basic scheme design of bilingual promotion system,and describes the business and implementation of each module in detail,including user login/registration,personal center,home page,reading and listening,activity communication,testing and other modules.This paper focuses on the optimization algorithm based on knowledge network,puts forward the breadth first algorithm based on sorting,integrates breadth first traversal algorithm into Bilingual promotion platform,establishes the connection between knowledge points,integrates knowledge points with knowledge network,constructs and uses knowledge topological network,improves the execution efficiency of traversal algorithm,and reduces execution time.At the same time,the adaptive algorithm of knowledge network is proposed,and the implementation process of the algorithm is described in detail.The problem that the test is not targeted caused by the differences between students is solved,and the way of algorithm docking platform is explained.At the same time,this paper studies the optimization of the loading speed of the platform,describes and applies the browser caching mechanism and the preloading lazy loading scheme,and puts forward the optimization scheme of reducing cookie transmission,avoiding backflow and redrawing,and skeleton screen,and explains the model and index of the optimization scheme test.Based on the above optimization model,this paper tests and evaluates the algorithm and optimization scheme in bilingual promotion platform.This paper describes the overall goal of the test,the main tools and environment of the experiment,and designs four groups of specific experiments to test the system as a whole,browser compatibility,execution time and error rate of sorting based knowledge network traversal algorithm and knowledge network adaptive algorithm,and load speed optimization,and analyzes the experimental results,The effectiveness of the proposed algorithm and optimization scheme is verified.Bilingual promotion platform based on vue.js combines the current popular web technology,search algorithm.Research on the performance improvement of online platform and the improvement of knowledge network effectiveness,in order to achieve an efficient online learning platform,it is of great significance to the development of online education. |
