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

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.