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All Journal International Journal of Electrical Engineering and Intelligent Computing
Zaid Mundher
College of Computer Science and Mathematics
Computer Science & IT Electrical & Electronics Engineering Energy

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Recommendation systems: A Review Zaid Mundher
International Journal Of Electrical Engineering and Inteligent Computing Vol 2, No 2 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v2i2.9956

Abstract

Recommendation systems have become one of the most widespread types of systems today, as they have become a necessity and a need. Recommendation systems can be defined as methods for presenting or marketing electronic products (in various forms) to users, with the selection of products based on the user's actual needs. This is achieved through the use of specific algorithms and methods to gauge the user's interest in the suggested products. Recently, the applications of recommendation systems have expanded beyond a single field or aspect, extending into many areas of life and science. Many methods have been developed and improved for building recommendation systems from naive to advanced ones.This study aims to provide a comprehensive overview of recommendation systems: definitions, objectives, and types, including the advantages and disadvantages of each type.
Analyzing Illegal Trade On The Dark Web Zaid Mundher
International Journal Of Electrical Engineering and Inteligent Computing Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.10851

Abstract

Internet can be divided, in terms of accessibility, into three main categories: Surface web, Deep web, and Dark web. The dark part is considered the most dangerous of these types due to the difficulty of tracking its users and the anonymity it offers, making it widely used for illegal activities. This research aims to measure the prevalence of illegal activities in Iraq and some neighboring countries, specifically Syria, Saudi Arabia, and Iran. The activities tracked include: drug trafficking, fake documents, and weapons trafficking. The search engine "Ahmia" was used to collect dark web links (with the .onion extension) as an initial stage. In the second stage, the Tor network was used to access these links to obtain more information from each page. A dataset of approximately 5,000 pages was created and analyzed to generate a set of insights related to the data. The results showed that Iraq appears more prominently compared to neighboring countries, reflecting the widespread use of dark web sites, as will be discussed later in this work.
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