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Research On The Migration Technology Of Web Information System To WeChat Platform

Posted on:2018-04-11Degree:MasterType:Thesis
Country:ChinaCandidate:K YangFull Text:PDF
GTID:2348330515981989Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the rapid development of mobile communication technology and the increasing convenience of mobile terminal Internet access,mobile terminals have surpassed the PC as the main terminal equipment for people to access Internet resources.However,when using the mobile terminal to access the Web page designed specifically for the PC,the layout of the page unreasonable,noisy information,poor user experience and other issues,has brought the user great inconvenience.It is of great significance to convert the original Web page designed for PC to the page that is suitable for the mobile terminal,and to provide the user with fast and good user experience.The purpose of this thesis is to provide a solution for the smooth migration of traditional Web information systems to mobile platforms and to develop a universal adaptation system.The program uses the WeChat public platform as the mobile platform,the use of page conversion technology to the original Web page segmentation,information extraction and re-layout,the original page is converted to suitable for users to browse the page in the mobile side,combined with page caching technology,Realize the migration of WeChat platform of Web information system.In this thesis,the page conversion technology in the adaptive system is studied.This thesis proposes a web page information extraction algorithm based on DOM tree,separates the theme content of the web page from the noise content by information extraction,and then reorganizes the extracted content to complete the adaptation.Considering that the web pages within the website are usually generated by one or more templates,the same template is similar to the web page style.In order to speed up the extraction of information,a web page information extraction template generation algorithm based on web page segmentation is designed.In order to improve the accuracy of clustering,an improved Web page structure similarity measure algorithm based on subtree matching is proposed to solve the problem of similarity of web page structure in the process of information extraction template generation.Secondly,Java language is used to design and achieve the adaptation system.The system is divided into two parts: basic service and adaptation service,including function modules such as page template generation,page conversion and page caching.The page template library generation module first crawls the web pages of the Web site and classifies the crawled web pages according to the similarity of the web pages,and then generates the corresponding page information extraction template for each type of web page.The page conversion module make the appropriate conversion processing according to whether the page has a matching page information extraction template.The adaptation system also incorporates a page cache module to improve the response to duplicate requests,thereby improving the processing performance of the system.Through the actual website test shows that the system developed by this thesis can automatically complete the adaptation of the page in the mobile side,the converted page content display accurate and reasonable,page layout is good,and automatically adjust the layout according to the different screen size.The system realizes the migration of the mobile information of the Web information system,and the operation is stable and the processing performance is good.
Keywords/Search Tags:WeChat public platform, Web page segmentation, Information extraction, Web page cache
PDF Full Text Request
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