Recommender System and E-Sales

Authors

  • root root

DOI:

https://doi.org/10.57026/wsj.v4i10.628

Keywords:

company,E-Commerce,customer,Collaborative filtering,Recommender system,Online Sales,Revenue,Amazon.

Abstract

Customers build strong relationships according to new technology models. Therefore, some software is used to find things that the user wants to view or buy online, and the website recommends these products to the customers, called recommender systems. Today, many recommendation systems have been developed for different fields and on a large scale in most electronic companies. In this paper, we study the effect of the company\'s revenues via e-sales before and after the use of the recommendation systems.

Published

2022-06-30

Issue

Section

Articles

How to Cite

Recommender System and E-Sales. (2022). Warith Scientific Journal, 4(10), 166-173. https://doi.org/10.57026/wsj.v4i10.628