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The Research And Application Of Drainage Model Based On Wechat Maker Platform

Posted on:2020-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:R B ShengFull Text:PDF
GTID:2428330572971169Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
With the penetration of the Internet into people's lives,the maker-like education platform has gradually become another area of great concern.In the early days of the development of the industry,there is still a lot of room for expansion and development.The maker platform in the market is mostly in the form of one-way transmission of innovative knowledge.The goal of this paper is to design and implement a platform that integrates the creation of innovation and concept communication for the target users.At the same time,based on the platform and the principle of artificial intelligence algorithm recommendation,the research and application of user drainage mode is carried out.Based on the analysis of the feasibility and requirements of the platform,the paper designs and implements a maker platform based on the WeChat public platform.Firstly,paper plans the overall functional architecture and functional detail design of the platform,and set up four major functional modules:course,community,user,and background.The course module and community module are the core business modules of the platform.The module and the back-end module are the business support modules of the platform;at the same time,the subject also fully refers to the classic user drainage mode and integrates them into the user and scene setting plan of the platforam.Secondly,the overall technical architecture design and technical details of the platform are completed.Java,HTML5,and Spring open source framework and front-end development software are used in the technology implementation process.After that,based on the maker platform,the drainage model is studied.The paper will make a specific interpretation of the drainage model,and design a scheme combining the drainage model and the platform and explore the collaborative filtering algorithm that integrates the user recommendation influence degree to the platform drainage model.support.The paper realizes the functional structure and functional details of all the plans and completes the technical level.Each function point also passes the platform performance test of the platform.The stability,ease of use and smoothness of the whole platform are good.After logging in to the platform,the user can retrieve the course and watch the course through the function of the course module.You can share the experience with others through the community module.You can manage your own course work information and personal reward information through the user module.The back-end module manages the platform course and collects statistics on user data.At present,users can complete the learning of innovative courses and the exchange of innovative ideas and ideas through the WeChat public number or domain name landing platform.The number of active users on the platform is over a thousand,and a small-scale influence is formed among users in the target age group to meet the needs of users and has been widely recognized by users.
Keywords/Search Tags:Maker education, Drainage mode, Spring, Recommendation algorithm
PDF Full Text Request
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