University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning

Ahmed Nur Merag, Rezwana Chaudhury Raka, Sumya Afroj, Md Humaion Kabir Mehedi, Annajiat Alim Rasel

2023

Abstract

The study proposes a distributed machine learning-based university recommendation system (URS) in Bangladesh to help undergraduate students make informed decisions based on user ratings. The system uses advanced distributed machine learning models such as collaborative filtering and popularity-based recommender model which consists of KNNwithmeans model and singular value decomposition (SVD) model to process data and provide accurate recommendations, significantly enhancing the university selection process for students. This study advances educational technology and provides a useful tool for undergraduates in Bangladesh.

Paper Citation

in Harvard Style

Merag A., Raka R., Afroj S., Mehedi M. and Rasel A. (2023). University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 352-358. DOI: 10.5220/0012256100003543

in Bibtex Style

@conference{icinco23,
author={Ahmed Nur Merag and Rezwana Chaudhury Raka and Sumya Afroj and Md Humaion Kabir Mehedi and Annajiat Alim Rasel},
title={University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={352-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012256100003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - University Recommendation System for Undergraduate Studies in Bangladesh Using Distributed Machine Learning
SN - 978-989-758-670-5
AU - Merag A.
AU - Raka R.
AU - Afroj S.
AU - Mehedi M.
AU - Rasel A.
PY - 2023
SP - 352
EP - 358
DO - 10.5220/0012256100003543
PB - SciTePress