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MACHINE LEARNING METHOD TO IDENTIFY INDEPENDENT TASKS FOR PARALLEL LAYOUT IN WEB BROWSERS

机译:用来识别Web浏览器中并行布局的独立任务的机器学习方法

摘要

Methods and devices for accelerating web page rendering include processing web pages and gathering web page element information, performing machine learning analysis on the gathered web page element information to identify patterns in layout independence correlated to web page element information, and training a classifier to predict sub-tree independence based on element information in a web page script. The predicted sub-tree independence may be used to concurrently process portions of a web page to be rendered to reduce the time required to render the page. Sub-trees may be conditionally independent, in which case, the conditionally independent sub-trees may be made independent by speculating data to render the sub-trees independent, or by performing a task to obtain the certain information to render the sub-tree independent.
机译:用于加速网页渲染的方法和设备包括:处理网页和收集网页元素信息;对收集的网页元素信息执行机器学习分析,以识别与网页元素信息相关的布局独立性模式;训练分类器以预测子页面-树独立性基于网页脚本中的元素信息。预测的子树独立性可用于同时处理要呈现的网页部分,以减少呈现页面所需的时间。子树可以是条件独立的,在这种情况下,可以通过推测数据以使子树独立,或者通过执行任务来获取特定信息以使子树独立,来使条件独立子树独立。 。

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