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All Journal Sistemasi: Jurnal Sistem Informasi International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Mundher, Zaid
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Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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A Recommendation System for University Discussion Committees Mundher, Zaid; Ahmad, Manar Talat
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4726

Abstract

One of the topics that have emerged and gained popularity in recent years, due to the extensive availability of data, is recommendation systems. The concept of recommendation systems is based on saving users' time and effort while using the Internet for browsing, shopping, or other web activities. On the other hand, one of the routine tasks that is consistently performed in the academic community is the selection of committees’ members for the defense of master's thesis or doctoral dissertations. These committees are responsible for evaluating the graduate students’ work and assessment of the academic and research efforts. In general, naming discussion committees' members is one of the challenges that used to be solved manually. In this work, a recommendation system was built to propose a discussion committee’s members at Computer Science department in University of Mosul based on a dataset that includes the committees that were previously named. Two methods were introduced, developed, and tested based on content-based recommendation system techniques and cluster-based recommendation system techniques.
YouTube Video Popularity in Iraq and Neighboring Countries Mundher, Zaid
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

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Abstract

Today, YouTube is one of the most popular and widely viewed global video platforms. The platform contains a huge number of videos of varying lengths and categories. Studying user behavior based on these categories, considering geographic regions, can provide many insights for video creators. This study examines the popularity of YouTube videos in four countries: Iraq, Saudi Arabia, and Turkey, in addition to the United States, a country with a distinct culture and diverse interests. The required data was collected over a 30-day period using the YouTube Data API. This gathered data includes many important features, such as video titles, video views, video likes, and video comments. After analyzing data, results shows many differences in user engagement, content types, and engagement patterns with the platform, providing valuable insights for content creators, marketers, and researchers who interested in regional digital user behavior.
Co-Authors Ahmad, Manar Talat