Open AccessRegular Expressions for Web Advertising Detection based on an Automatic Sliding Algorithm
Author(s) -
Donovan Riaño Enriquez,
Rodrigo Pi-Ayala,
Guillermo Molero–Castillo,
Everardo Bárcenas,
Alejandro Velázquez-Mena
Publication year - 2021
Publication title -
trudy instituta sistemnogo programmirovaniâ ran/trudy instituta sistemnogo programmirovaniâ
Language(s) - English
Resource type - Journals
eISSN - 2220-6426
pISSN - 2079-8156
DOI - 10.15514/ispras-2021-33(2)-3
Subject(s) - computer science , automation , implementation , feature (linguistics) , regular expression , software , character (mathematics) , code (set theory) , optical character recognition , web page , algorithm , artificial intelligence , world wide web , software engineering , programming language , engineering , image (mathematics) , mathematics , mechanical engineering , linguistics , philosophy , geometry , set (abstract data type)
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.