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MACHINE LEARNING WEBPAGE ACCESSIBILITY TESTING TOOL

机译:机器学习网页辅助功能测试工具

摘要

An apparatus includes a memory and a hardware processor. The processor receives a voice signal associated with an element of a website. Navigating to the element includes performing a user interaction with a browser configured to display the website. In response to receiving the voice signal, the processor converts the voice signal to an input command that simulates the user interaction and executes the input command. The processor then monitors a behavior of the browser and applies a machine learning algorithm to the behavior to determine whether the website is compliant with a set of rules. The machine learning algorithm determines whether the website is compliant based at least in part on the voice signal and the browser behavior. In response to determining that the website is not compliant with the set of rules, the processor records a violation in an error log.
机译:装置包括存储器和硬件处理器。处理器接收与网站的元素相关联的语音信号。导航到元素包括执行与被配置为显示该网站的浏览器的用户交互。响应于接收到语音信号,处理器将语音信号转换为模拟用户交互并执行输入命令的输入命令。然后,处理器监视浏览器的行为,并将机器学习算法应用于行为,以确定网站是否符合一组规则。机器学习算法至少部分地基于语音信号和浏览器行为来确定网站是否符合。响应于确定网站不符合该组规则,处理器记录错误日志中的违规。

著录项

  • 公开/公告号US2021081165A1

    专利类型

  • 公开/公告日2021-03-18

    原文格式PDF

  • 申请/专利权人 BANK OF AMERICA CORPORATION;

    申请/专利号US202016796182

  • 发明设计人 PARESH DESHMUKH;YACINE ARBANI;

    申请日2020-02-20

  • 分类号G06F3/16;G06N20;G06F40/143;G10L15/22;G10L15/26;

  • 国家 US

  • 入库时间 2022-08-24 17:46:39

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