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