The strategy for developing a recommendation system based on big data analytics in e-commerce
Year: 2025
Type: article
Abstract: The popularity of modern e-commerce sites has had a big impact on IT technology. As e-commerce companies strive to provide their customers with the best possible experience, many technologies are used to do so. One way to attract loyal customers is to develop recommendations based on analyzing purchases as well as opinions of other users. This paper discusses the strategy for developing a recommendation system based on big data analytics in e-commerce. Relevant technologies and algorithms of e-commerce recommendation systems are analyzed, and the architecture of e-commerce recommendation system is proposed. Examples of successful implementation of recommendation system based on big data analytics for marketplaces are given.
Author: Andrii Masol
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410747246