Recommender System for Smart University Registration System

Recommender Systems (RSs) have gained significant traction across industries such as e-commerce and digital media; however, their use in academic course recommendation remains relatively underdeveloped. This paper explores the design and implementation of a RS tailored for a smart university registration system, with the goal of streamlining the course selection process for undergraduate students. By analysing similarities in academic plans, the system delivers personalized course suggestions, facilitating smoother pre-registration and enriching the academic journey. It employs a combination of collaborative filtering, content-based filtering, and hybrid techniques to generate precise and relevant recommendations. Designed for seamless integration with existing university infrastructure, the system prioritizes scalability, ease of use, and ethical data practices. Its adoption is expected to enhance student satisfaction, retention, and academic success, while also alleviating the burden on academic advisors and administrative personnel. The research addresses key challenges including data availability, interface usability, and integration complexity, offering practical advancements in the realm of educational technology.

• Publication year

  2025

• Venue

  Ahliya Journal of Business Technology and MEAN Economies

• Publication date

  2025-05-31

• Fields of study

  Not labeled

• Identifiers
  DOI 10.59994/ajbtme.2025.1.1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Comprehensive Study On Personalized Learning Recommendation In E-Learning System

  2024cited by this paper
• Advances in Networks, Intelligence and Computing

  2024cited by this paper
• A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review

  2024cited by this paper
• Hybrid Recommender System for Educational Resources to the Smart University Campus Domain

  2023cited by this paper
• Enhancing Learning Personalization in Educational Environments through Ontology-Based Knowledge Representation

  2023cited by this paper
• Recommendation Systems: Content-Based Filtering vs Collaborative Filtering

  2022cited by this paper
• Recommender Systems: Techniques, Applications, and Challenges

  2022cited by this paper
• A Comprehensive Survey on Trustworthy Recommender Systems

  2022cited by this paper
• Developing and Evaluating a University Recommender System

  2022cited by this paper
• Hybrid Filtering Recommendation System in an Educational Context: Experiment in Higher Education in Morocco

  2022cited by this paper
• Recommendation Systems for Education: Systematic Review

  2021cited by this paper
• A Personalized Academic Advisory Recommender System (PAARS): A Case Study

  2021cited by this paper
• Personalized Smart Learning Recommendation System for Arabic Users in Smart Campus

  2021influential reference
• Hybrid Course Recommendation System Design for a Real-Time Student Automation Application

  2021cited by this paper
• Redesigning a First Year Physiology Course using Learning Analytics to Improve Student Performance

  2021cited by this paper
• A Content Based and Collaborative Filtering Recommender System

  2021cited by this paper
• Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering

  2020cited by this paper
• Collaborative filtering recommendation algorithm based on variational inference

  2020cited by this paper
• Reinforcement learning for personalization: A systematic literature review

  2020cited by this paper
• Course Recommender Systems with Statistical Confidence

  2020cited by this paper
• Interval valued Pythagorean fuzzy aggregation operators based Malcolm Baldrige National Quality Award assessment

  2020cited by this paper
• Ethical Challenges for Learning Analytics

  2019cited by this paper
• Toward a Deep Recommender System for MOOCs Platforms

  2019cited by this paper
• Using Project-based Learning in a Hybrid e-Learning System Model

  2019cited by this paper
• A Collaborative Filtering Approach Based on Naïve Bayes Classifier

  2019cited by this paper
• Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan

  2019cited by this paper
• PCRS: Personalized Course Recommender System Based on Hybrid Approach

  2018cited by this paper
• Keywords

  2018cited by this paper
• Towards an Incremental Recommendation of POIs for Mobile Tourists without Profiles

  2018cited by this paper
• Recommendation Semantic of Services In Smart City

  2017cited by this paper
• Recommender Systems for university elective course recommendation

  2017cited by this paper
• Research on the Application System of Smart Campus in the Context of Smart City

  2016cited by this paper
• Effects of different types of RSS data on the system accuracy of indoor localization system

  2016cited by this paper
• Intelligent Tutor Recommender System for On-Line Educational Environments

  2015cited by this paper
• An intelligent student advising system using collaborative filtering

  2015cited by this paper
• Introduction to Recommender Systems Handbook

  2011cited by this paper
• Analysis of Trust in Internet and Mobile Commerce Adoption

  2007cited by this paper
• Trust building with explanation interfaces

  2006cited by this paper
• An algebra for recommendations: using reader data as a basis for measuring document proximity

  1990cited by this paper

• No citing papers are available for this paper.