Abstract

This paper presents the automation of a Web advertising recognition algorithm, using regular expressions. Currently, the use of regular expressions, optical character recognition, Databases, and automation tests have been critical for multiple Software implementations. The tests were carried out in three Web browsers. As a result, the detection of advertisements in Spanish, that distract attention and that above all extract information from users was achieved. The main feature of the algorithm is that automatic and versatile execution does not require access to the code of the page in question and that in the future it can be an application with background operation. Being supported by optical character recognition gives us acceptable efficiency in detecting advertising. Thanks to this identification, it may be possible to generate different applications, both in favor of the user and the brands, always with the aim of improving current online marketing models.

中文翻译：

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基于自动滑动算法的Web广告检测正则表达式

摘要

本文介绍了使用正则表达式的Web广告识别算法的自动化。当前，正则表达式，光学字符识别，数据库和自动化测试的使用对于多种软件实现至关重要。测试是在三种Web浏览器中进行的。结果，实现了西班牙语广告的检测，该广告分散了注意力，并且最重要的是从用户那里提取了信息。该算法的主要特征是自动执行和多功能执行不需要访问所涉及页面的代码，并且将来它可以成为具有后台操作的应用程序。受到光学字符识别的支持，我们可以在检测广告方面获得可接受的效率。有了这个识别，