Método para recomendar factores de posicionamiento personalizados en el motor de búsqueda de Google

Translated title of the contribution: Method to recommend personalized ranking factors in the Google search engine

Richard Injante, David Mauricio

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The considerable increase of websites on the Internet with different themes has prompted users to use this medium to search for and obtain information. Of all the search engines used for this task, Google is the one most people use as their preferred search engine. With this in mind, it becomes critical to reach the best positions in the search results in order to promote a website. This work offers a 6 phases based method to recommend personalized positioning factors to the owners of web pages, in order to improve the ranking of their web pages in the Google search engine. The method was applied in a test web page and a considerable improvement in its positioning was obtained.

Translated title of the contributionMethod to recommend personalized ranking factors in the Google search engine
Original languageSpanish
Article numbere253
JournalRevista Espanola de Documentacion Cientifica
Volume43
Issue number1
DOIs
StatePublished - 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, CSIC Consejo Superior de Investigaciones Cientificas.

Fingerprint

Dive into the research topics of 'Method to recommend personalized ranking factors in the Google search engine'. Together they form a unique fingerprint.

Cite this