Regular Expressions for Web Advertising Detection based on an Automatic Sliding Algorithm
Donovan RIAÑO ENRIQUEZ,
Rodrigo PINON-AYALA,
Guillermo MOLERO-CASTILLO,
Everardo BARCENAS,
Alejandro VELAZQUEZ-MENA https://doi.org/10.15514/ISPRAS-2021-33(2)-3
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. In addition, being supported by optical character recognition gives us acceptable efficiency in detecting advertising.
About the Authors
Donovan RIAÑO ENRIQUEZ
National Autonomous University of Mexico
Mexico
Mexico
Student
Rodrigo PINON-AYALA
National Autonomous University of Mexico
Mexico
Mexico
Guillermo MOLERO-CASTILLO
National Autonomous University of Mexico
Mexico
Mexico
Ph.D. in Information Technologies, Associate Professor
Everardo BARCENAS
National Autonomous University of Mexico
Mexico
Mexico
Ph.D., Assistant Professor
Alejandro VELAZQUEZ-MENA
National Autonomous University of Mexico
Mexico
Mexico
Master of Science, Assistant Professor
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Review
For citations:
RIAÑO ENRIQUEZ D., PINON-AYALA R., MOLERO-CASTILLO G., BARCENAS E., VELAZQUEZ-MENA A. Regular Expressions for Web Advertising Detection based on an Automatic Sliding Algorithm. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2021;33(2):65-76. (In Russ.) https://doi.org/10.15514/ISPRAS-2021-33(2)-3
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