The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Combining recommendation systems and AI in e-commerce can improve the user
experience and decision-making. This study uses a method called bibliometrics to look at …

In the last decade, the number of attacks on the internet has grown significantly, and the
types of attacks vary widely. This causes huge financial losses in various institutions such as …

The intrusion detection system (IDS) is very essential tools to detect malicious network. IDS
is a hardware or software approach to observe the internet for malicious attacks. It has ability …

In existing matrix factorization (MF)-based recommender systems, the user-item interaction
matrix is factorized linearly into two low-ranked feature matrices to generate predictions or …

Context With the rapid increase in data complexity and volume, analyzing and
understanding large‐scale datasets has become a critical challenge, especially in domains …

Recommendation systems are tasked with the complex challenge of modeling high-
dimensional interactions between users and items to deliver personalized …

In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

This article describes the creation and implementation of an in-game radio context-aware
recommender system (CARS). To increase player engagement, music is selected based on …

E-commerce has been the most important service in the last two decades. E-commerce
services influence the growth of the economic impact worldwide. A recommender system is …