ACADEMIC PERFORMANCE RECOMMENDATION SYSTEM

Abstract

In today's education system, grades are considered a measure to evaluate
they may struggle to identify which subjects align with their abilities.
Recommendation systems are currently being widely applied in various fields,
especially in e-commerce. Recently, many researchers have started to focus on the
field of education. Although there are numerous recommendation algorithms, I
will utilize the Biased Matrix Factorization (BMF) algorithm to predict students'
academic performance, helping them choose subjects that suit their abilities. The
research will focus on studying the model of the primary BMF algorithm.