Leveraging e-Commerce Performance through Machine Learning Algorithms

Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine q...

Full description

Saved in:

Bibliographic Details
Published in:	Analele Universității "Dunărea de Jos" Galați. Fascicula I, Economie și informatica aplicata Vol. 25; no. 2; pp. 162 - 171
Main Authors:	Micu, Adrian, Geru, Marius, Capatina, Alexandru, Constantin, Avram, Rusu, Robert, Panait, Andrei Alexandru
Format:	Journal Article
Language:	English
Published:	Dunarea de Jos University of Galati 01-08-2019
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.
ISSN:	1584-0409 2344-441X 1584-0409
DOI:	10.35219/eai1584040947