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Regular Expressions for Web Advertising Detection Based on an Automatic Sliding Algorithm

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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.

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ACKNOWLEDGMENTS

This work was supported by UNAM-PAPIIT IA105320.

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Authors and Affiliations

  1. Engineering Faculty, UNAM, Circuto Escolar 04360, C.U., Coyoacán, 04510, Ciudad de México, CDMX, Mexico

    D. Riaño, R. Piñon, G. Molero-Castillo, E. Bárcenas & A. Velázquez-Mena

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  1. D. Riaño
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  2. R. Piñon
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  3. G. Molero-Castillo
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  4. E. Bárcenas
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  5. A. Velázquez-Mena
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Correspondence to D. Riaño, R. Piñon, G. Molero-Castillo, E. Bárcenas or A. Velázquez-Mena.

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Riaño, D., Piñon, R., Molero-Castillo, G. et al. Regular Expressions for Web Advertising Detection Based on an Automatic Sliding Algorithm. Program Comput Soft 46, 652–660 (2020). https://doi.org/10.1134/S0361768820080162

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