In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a
global scale has been remarkable. Learners can now meet their learning demands with the …

Aiming at the problem of low utilization of library resources in the current network information-
flooded environment, this paper designs a book recommendation system framework suitable …

A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …

In recent years, the way we make the decision to read a book has diversified a lot. From
simple methods based on friends' recommendations or the desire to read a book after …

This study investigates effective feedback mechanisms to maintain human engagement in
interactive machine learning (IML) systems, focusing on social media platforms. We …

Abstract Group Recommendation Systems (GRS) are ubiquitously available to give
recommendations to users indulging in group activities. These systems recommend items …

Decision making can be a complex and challenging task, particularly in the context of an
overwhelming amount of information available on the web. Recommender systems have …

Using 286 research papers collected from Web of Science, ScienceDirect, SpringerLink,
arXiv, and Google Scholar databases, a systematic review methodology was adopted to …

After three years of dealing with a global medical catastrophe, our society is attempting to re-
establish normalcy. While companies are still struggling to get back on track, workers have …

In today's digital landscape, the abundance of entertainment content on streaming platforms,
music services, and e-book libraries presents challenges and opportunities. Traditional …