A Recommender System for Digital Newspaper Readers Based on Random Forest

In this research, the potential of machine learning methods based on decision trees (DT) and Random Forest (RF) models developed in the context of classifying readers of a digital newspaper. For this purpose, the number of visits of users to each section of the newspaper in a 3-month interval has be...

Full description

Autores:
Delahoz-Dominguez, Enrique
Zuluaga Ortiz, Rohemi Alfredo
Mendoza-Mendoza, Adel
Escorcia, Jey
Moreira-Villegas, Francisco
Oliveros-Eusse, Pedro
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12106
Acceso en línea:
https://hdl.handle.net/20.500.12585/12106
Palabra clave:
Customer Churn;
Sales;
Customer Relationship Management
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/