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