The Processing And Application of Big Data for the Film

• 1、Beijing University of Posts and Telecommunications,Software Engineering,100876

Abstract：With the constant improvement of the film information technology system, the system increasingly has a large amount of information, which can be called big data of film. The hotspot of film big data research is to gain the valuable information via analyzing those data, which can provide the policy direction for the film and television workers. The researchers commonly utilized the machine learning techniques to process and analysis film big data via dimension reduction and forecasting methods. The performance of those algorithms are related to the effectiveness and applicability of machine learning techniques in big data research. In this paper, a factor analysis-based dimension reduction method is proposed for the film big data, and the support vector regressionis utilized to predict the audience ratings. Experimental results show that this method can effectively predict audience ratings, which means that the producers and exhibitors can be provided the decision support with a more accurate forecast.

Keywords： Film Data Machine Learning Dimension Reduction Prediction Method