Over the past few decades, the education sector has achieved impressive advancements by
incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless …

Recently, there is difficulty in extracting useful information from huge online information due
to the rapid growth of the internet. Therefore, the Recommendation system (RS) is needed …

Managing large amounts of data is a challenge faced by users, so a recommendation
system is needed as an information filter to provide relevant item suggestions. Twitter is …

In the current digital era where content consumption via streaming platforms is increasing,
the need for accurate recommendation systems is becoming increasingly important …

Many women around the world die due to breast cancer. If breast cancer is treated in the
early phase, mortality rates may significantly be reduced. Quite a number of approaches …

Recommendation systems are an integral part of information filtering system in data science,
that are widely used in order to identify the pattern a user would likely choose on the basis of …

Abstract Technology, Engineering, and Mathematics (STEM) enrolment has gained a lot of
research interest. The increase in demand for STEM-based skill sets has contributed to the …

Recommender Systems provide users with content or products they are interested in. The
main purpose of Recommender Systems is to find, among the vast amount of information …

Recommender systems in education are becoming more widespread, typically focusing on
recommending courses or study materials. This study proposes a machine learning …

This research proposes a dataset and a recommender system for recommending canine
and feline breeds, comprising one of the largest collections of its kind with 369 canine …