微信公众平台智能维护系统的设计与实现

发布时间：2018-04-16 12:24

本文选题：微信公众平台 + 智能维护　；参考：《河北师范大学》2017年硕士论文

【摘要】：微信是腾讯公司于2011年1月21日推出的一个为智能终端提供即时通讯服务的免费应用程序。随着发展,微信的用户群体以惊人的速度增长,现今,微信的月活跃用户数已经达到了5亿以上。微信公众平台是微信在2012年8月开通的新功能,商家企业开始通过微信公众平台对自己的产品、服务等进行宣传和营销,通过这种自媒体的形式,进行一对多的媒体性行为,这种模式快速、便捷且成本低廉,但是用户对于微信公众平台的日常维护却面临工作效率低,人工成本高等诸多问题。为了解决用户在维护微信公众平台的痛点,提高微信公众平台维护的效率和质量,所以开发一个微信公众平台智能维护系统已成为当务之急。本文主要研究这个微信公众平台智能维护系统如何设计设计与实现。该系统首先要具备自动搜索文章、文章分类、文章去重、文章编辑、文章的自动推送等基本功能。系统使用JAVA开发语言、spring MVC框架、My SQL数据库、Sim Hash算法与深度优先搜索算法等技术进行开发。系统主要完成以下几个方面的工作:1.数据抓取功能设计与实现,该功能是对制定网站的文章基本信息进行抓取,归类和数据库操作。我们针对每一个源网站都有单独的服务器脚本,为不同的用户加载不同数量的脚本,同时我们针对用户不同的配置进行收费档次的划分。2.抓取文章去重功能设计与实现,该功能将系统抓取的文章通过Sim Hash算法进行相似度计算。再通过比较用户输入的相似度系数确定文章是否属于相似文章。3.后台管理功能设计与实现,该功能相当于系统的设置功能,它提供了用户的增删改查、需要管理的微信公共平台信息增删改查、文章分类设置管理、用户权限设置、去重相似度参数设置等系统运行所需要的参数。4.文章管理功能设计与实现,该功能是本系统使用最多的部分,平时文章的筛选、管理、编辑、发布等主要功能都属于文章管理功能。最后对系统进行测试,确保满足用户需求。该系统设计与实现过程具有重要的学术方面的研究价值,系统本身还有非常大的实际应用前景和市场需求。
[Abstract]:WeChat is a free app that Tencent launched on January 21, 2011 to provide instant messaging services for smart terminals.With the development of WeChat, the number of users of WeChat has increased at an astonishing rate. Today, MAU of WeChat has reached more than 500 million.WeChat public platform is a new function that WeChat launched in August 2012. Through WeChat public platform, businesses begin to publicize and market their products, services, etc., and through this form of self-media, they engage in one-to-many media behavior.This mode is fast, convenient and low cost, but the daily maintenance of WeChat public platform is faced with many problems, such as low efficiency and high labor cost.In order to solve the pain point of maintaining WeChat public platform and improve the efficiency and quality of WeChat public platform maintenance, it is urgent to develop an intelligent maintenance system for WeChat public platform.This paper mainly studies how to design and implement the intelligent maintenance system of WeChat public platform.The system must have the basic functions of automatically searching articles, classifying articles, reloading articles, editing articles and pushing articles automatically.The system is developed by using JAVA development language, spring MVC framework, my SQL database, Sim Hash algorithm and depth first search algorithm.The system mainly completes the following aspects of work: 1.The function of data capture is designed and implemented. The function is to grab, classify and operate the basic information of the articles.We have separate server scripts for each source site, loading a different number of scripts for different users, and we divide the fee levels for different user configurations.The article removal function is designed and implemented. This function computes the similarity of the articles captured by the system through Sim Hash algorithm.Then the similarity coefficient of user input is compared to determine whether the article belongs to similar article. 3.Background management function design and implementation, this function is equivalent to the system setting function, it provides the user to add, delete, delete and check, the WeChat public platform information to be managed, the article classification setting management, user authority setting,The parameters. 4. 4 are needed for the system to run.The article management function is designed and implemented, which is the most used part of the system. The main functions of article selection, management, editing, publishing and so on belong to the article management function.Finally, the system is tested to meet the needs of users.The design and implementation of the system has important academic research value, the system itself has a very large practical application prospects and market demand.
【学位授予单位】：河北师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.56

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