Development of Film Genres Prediction System Based on Intelligent Tags

Abstract

The number of film works in China has increased year by year, many works have won unanimous praise from domestic and foreign audiences. But overall, the quality of works in the entire domestic film industry is still uneven, more high-quality film works are needed. In this paper, a new method based on multiple dimensions to analyze and excavate the film works communication effects is proposed. By categorizing and summarizing the film genres, the system can predict the communication effects of different types of film works and provide creative suggestions based on the market acceptance. According to the audience preferences, the system will recommend different film works to meet the audience’s needs. The simulation results demonstrated that the prediction system can greatly improve the propagation of film works.