I. Introduction
In order to address the issue of information overload on the network, recommendation systems have become integral in filtering personalized information. At the core of recommendation systems lies the task of predicting user interactions with specific items, such as clicking, scoring, and purchasing. The primary goal of recommendation systems is to forecast forthcoming user–item interactions by leveraging past user engagement history. This predictive process is pivotal in delivering personalized recommendations.