Artificial Intelligence Prediction Technology in Intelligent Recommendation Algorithms for Film and Television

This article investigates the application of artificial intelligence in movie recommendation algorithms and conducts in-depth research on how to improve the performance of movie recommendation algorithms. This project aims to fully demonstrate the application value and potential of artificial intelligence in movie recommendation from three aspects: model training, experimental results, and user feedback. By comparing the user satisfaction results of the paper’s algorithm with traditional algorithms, it can be seen that the paper’s algorithm has a much better evaluation score of 9.37 than the traditional 7.42. The experiment proves that the research results of this article can have important theoretical significance and application value for intelligent recommendation systems targeting the film industry.