Research On The Visualization Technology Of Web Page Click Data And Its Implementation Based On A Page Segmentation Algorithm

In the times of information explosion, the web site managers are not only interested in the business records of web system, but also want to have a knowledge of the action of website users. At present, there are many mature statistical systems at home and abroad, such as Google Analytics, CNZZ and Baidu statistics, which can analyze the action and composition of website users. In general, the web page click data collected by the statistical systems contain the coordinates click data and links click data. And the visualization results of click data are directly presented by the heat map and links click map. However, a web page often contains of contents with different themes, such as menu, advertising and news, etc. They play different roles to various website users. If a web page is processed as an atomic, there's no doubt that it hindered the development of the visualization of web page click data.In this paper, a web page segmentation algorithm based on links cues within the page and features of page layout by Hypertext Mark Language (HTML) tag div is implemented, which refers to the algorithms respectively based on the Document Object Model (DOM) tree,visual cues and the function tree of a web page. Different websites have been tested by this algorithm. At present,the div and css technology has been widely used in the design of web page, in which the links area can be effectively divided by the algorithm. Then, in order to show the result of combining segmentation algorithm with click data visualization technology, a web page click data visualization system is implemented, which is based on the framework of Spring Model-View-Controller (MVC) and developed by MyEclipse and MySQL. In the system, the visualization results of web page's coordinate click data and link click data are respectively presented by the web page heat map and the block click map.The dissertation consists of five chapters. The first chapter is the introduction of the research, including the background, meaning, related works. In the meanwhile, it describes the main content, innovation and structure of this paper. Related theoretical basis and technology are given in the second chapter. Then, the third chapter describes the proposed web page segmentation algorithm in detail, and it also presents the experimental results of the algorithm. The requirement analysis, database design and detailed design of the web page click data visualization system are in chapter four, followed by chapter five, where presented the experimental results of the system.