Scientific paper recommendation systems are essential tools that help researchers navigate the vast amount of academic literature available today. These systems aim to suggest relevant papers ...

Abstract: Personalized recommender systems have become indispensable in today’s online world. Most of today’s recommendation algorithms are data-driven and based on behavioral data. While such systems ...

In recommendation systems, this is often referred to as “the cold start problem,” which pertains to users and items that are new and have no interaction history. To address these ...

Abstract: Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations. It tries to address the problem of why: by ...