Title
Method to recommend personalized ranking factors in the Google search engine
Other title
Método para recomendar factores de posicionamiento personalizados en el motor de búsqueda de Google
Date Issued
01 January 2020
Access level
open access
Resource Type
journal article
Publisher(s)
CSIC Consejo Superior de Investigaciones Cientificas
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.
Volume
43
Issue
1
Language
Spanish
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Ciencias de la información
Subjects
Scopus EID
2-s2.0-85084387836
Source
Revista Espanola de Documentacion Cientifica
ISSN of the container
02100614
Sources of information:
Directorio de Producción Científica
Scopus