https://doi.org/10.36719/XXXX-XXXX/2/41-47

Saida Babazadeh

Baku State University

Master student

https://orcid.org/0009-0000-7263-2291

seyidebabazade26@gmail.com

User Behavior Analysis on Websites With the Help of Artificial Intelligence

Algorithms and Application Examples

Abstract

This article explores the applications of artificial intelligence in the field of user behavior analysis on websites and the potential of this technology. Artificial intelligence algorithms are widely used in various fields such as personalized content presentation by analyzing user behavior, enhancing customer experience through chatbots and virtual assistants, improving user experience, optimizing marketing campaigns, increasing customer satisfaction, and detecting fraudulent activities. The article explains how various technologies of artificial intelligence, including methods such as machine learning, deep learning, and natural language processing, are used to predict and analyze the behavior of website users. It also discusses the potential opportunities of artificial intelligence for more accurate analysis and prediction of user behavior in the future. The article highlights the growing role of artificial intelligence in user behavior analysis and shows what strategic advantages advances in this field provide for businesses.

Keywords: artificial intelligence, user behavior, website analytics, machine learning, user behavior analysis