电影网页设计代码基于python的电影票房预测系统设计与实现
摘 要
近些年来,随着电影行业变得越来越热门,也为影院带来不小的票房收入。传统的影院都是依靠个人经验进行排片,但是由于影片的票房收入可能受多种因素的影响,排片多的电影最后的票房会远低于预期值,导致影院因安排失误而导致大量的票房损失。
基于此背景下,众多的影院希望有一个票房预测系统能够预测电影的票房,为影院的排片进行指导,所以本文在了解了国内外研究现状后,在python语言的基础上,通过爬虫技术爬取中国电影网的各历史票房数据,利用多项式曲线拟合算法作为票房预测算法,实现了可对电影票房进行预测的python系统。
通过应用本系统,能够为国内的影院提供点映过一段时间的电影的预测票房,为影院排片提供有一定影响的参考依据,减少因人为因素对电影排片而导致票房损失的事情发生。同时本系统能够进行票房数据预处理以及模型训练等功能,因为目前电影的票房是用户选择观看电影的重要指标,所以系统还能够及时的变更票房的实时数据和预测数据,具有非常好的应用前景和使用价值。
关键词:多项式曲线拟合;电影票房预测;爬虫;python
Abstract
In recent years, with the film industry becoming more and more popular, it also brings a lot of box office revenue for the cinema. Traditional cinemas rely on personal experience to arrange films, but the box office revenue of films may be affected by many factors, and the final box office of films with more films will be far lower than the expected value, 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 prediction system 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, this paper crawls the historical box office data of China film website through crawler technology, and uses polynomial curve fitting algorithm as the box office prediction algorithm to realize the box office prediction A python system that can predict the box office of a movie.
Through the application of this system, it can provide domestic cinemas with the predicted box office of movies that have been shown for a period of time, provide reference basis for cinema film arrangement, and reduce the box office loss caused by human factors. At the same time, the system can carry out box office data preprocessing and model training, provide users with the trend of the box office, and effectively provide users with the prediction data of the box office, which has a very good application prospect and use value.
Keywords: polynomial curve fitting; movie box office prediction; crawler; python
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