In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Nowadays, e-learning and web-based learning are the most integrated new learning
methods in schools, colleges, and higher educational institutions. The recent web-search …

Collaborative and content-based filtering are the majorly used approaches towards
implementing recommender systems which can successfully predict the item (s) to be …

With the development of information technology, online learning has gradually become an
indispensable way of knowledge acquisition. However, with the increasing amount of data …

Collaborative filtering (CF) and content-based filtering (CBF) are the two primary methods for
building Recommender Systems (RS), aiming to predict items that users may like based on …

A personalized learning recommendation system has always been an area of focus and a
lot of work had been done in the past related to this field, suggesting a proper course needs …

With the swift advancement of online teaching in vocational education, an increasing
number of web-based course materials are being made available to students, granting them …

Recommender systems can be utilized to their full potential by suggesting to users the
information they need, tailored to their interests and personality. However, researchers in the …

In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Many systems are available to help the blind person in his life. This paper aims to prove the
specific proposed audio reading, meaning, and recommendation system are efficient and …