In the ever-evolving landscape of film discovery, providing users with accurate and personalized movie recommendations remains a crucial challenge. Traditional recommendation systems often rely on collaborative filtering or content-based methods, which can sometimes fall short in capturing the subtleties of user preferences. However, XMovis emerges