Research On Web Page Conversion Method Based On Adaptive Mobile Device

With the popularity of mobile devices and the development of mobile Internet technology,the demand for using mobile devices to access web pages has increased significantly.Due to the many differences in screen resolutions between mobile devices and personal computers,there will be confusion in the layout when using mobile devices to access these pages.Therefore,a web page conversion method is needed to use existing resources to convert the web page into a version that can be displayed well on mobile devices.However,with the development of front-end technology,the structure of web pages has become more and more complicated.At the same time,the introduction of dynamic frameworks has reduced the logic of web pages.The complexity and dynamics of web pages have brought great challenges to the conversion of web pages.To this end,a web page conversion method based on a rendering tree is designed.This method converts the web page into a version that can be displayed well on mobile devices through web page segmentation,noise recognition,and web page reconstruction.The main research content includes,proposing a method of web page segmentation,which use various features of the web page to segment the web page into visually and semantically independent page blocks.In web segmentation,we extract the visual features,logical features and color features to construct an element distance model,and cluster the web page elements.Then,the semantic features of the clustering result is statistically reorganized to obtain the web page segmentation results.In noise recognition,we select features with significant differences in main content and noise to quantify,establish page block feature vectors,dynamically adjust feature weights according to page type,and use improved classifiers based on feature weighting to identify noise.In the page reconstruction,the noise content is separated,and the remaining main content is adaptively adjusted according to the resolution of the mobile device,and the final adaptation result can be obtained.Based on two public datasets,the experimental evaluates the designed web page conversion method and analyzes the experimental results.The experimental results verify the correctness and effectiveness of the web page conversion method.By comparison with traditional algorithms,we can verify that our model has better performance in terms of precision and stability.