Towards E-Commerce Systems Based on Intelligent Recommender Systems

Sattari, Ali; Mohammadzadeh, Hosein

Towards E-Commerce Systems Based on Intelligent Recommender Systems

Document Type : Original Research Article

Authors

Ali Sattari

Hosein Mohammadzadeh

Computer Engineering Department, Islamic Azad University, Tabriz Branch, Tabriz, Iran

Abstract

Recently, recommender systems have expanded more and more as a new and fundamental technology to support users in choosing the right resources. These systems provide a personalized environment for selecting the desired resources by examining the past interactions of users and identifying interests. Of course, user behavior modeling and the recommendation mechanism are fundamental and decisive issues in the efficiency of recommender systems. In the field of e-commerce, the use of recommender systems plays an essential role in improving the user experience, attracting potential customers, increasing sales, and optimizing the efficiency of related service systems. Therefore, considering the importance of these systems in today's electronic businesses, knowing the functional dimensions of recommender systems is of particular importance. In this article, we are going to review the basic dimensions of recommender systems in the field of e-commerce and introduce some practical tools in this field. Certainly, by moving towards e-commerce systems based on intelligent recommender systems, we will witness huge and revolutionary changes in the infrastructure of the digital economy and related services.

Keywords

Recommender System

Artificial Intelligence

Electronic Commerce

Machine Learning

20.1001.1.27831361.1403.5.1.5.2

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