A Study to a Film Box Office Prediction Model Based on Machine Learning
Yangmei Zheng, Jiapeng Xiu · 2016
Nowadays more and more people focus on the application and development of big data in film industry. This paper presents a study to the box office prediction method. We choose valid inputs into model and use neural network algorithm and multiple linear regression model to do training process. Finally we compare and analyze the results between two models. This is an applicability study and has its value in reality.