基于python的电影票房预测系统设计与实现

山东财经大学学士学位论文AbstractIn recent years,with the film industry becoming more and more popular,it alsobrings a lot of box office revenue for the cinema.Traditional cinemas rely on personalexperience to arrange films,but the box office revenue of films may be affected by manyfactors,and the final box office of films with more films will be far lower than the expectedvalue,resulting in a lot of box office losses due to the wrong arrangement.Based on this background,many cinemas hope to have a box office predictionsystem to predict the box office of the movie and guide the movie arrangement.Therefore,We analyze the research at home and abroad the python language,thispaper crawls the historical box office data of China film website through crawlertechnology,and uses polynomial curve fitting algorithm as the box office predictionalgorithm to realize the box office prediction A python system that can predict the boxoffice of a movie.Through the application of this system,it can provide domestic cinemas with thepredicted box office of movies that have been shown for a period of time,providereference basis for cinema film arrangement,and reduce the box office loss caused byhuman factors.At the same time,the system can carry out box office data preprocessingand model training,provide users with the trend of the box office,and effectively provideusers with the prediction data of the box office,which has a very good applicationprospect and use value.Keywords:polynomial curve fitting;movie box office prediction;crawler;python1