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Prediction of Possible Business of a Newly Launched Film using Ordinal Values of Film-genres

机译:使用电影体裁的序数值预测新发行电影的可能业务

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Film industry is the most important component of entertainment industry. Both profit and loss are very high for this business. Like every other business, business prediction system plays a vital role for this industry. Before release of a particular movie, if the Production Houses or distributors get any type of prediction that how the film will do business, then it will be very useful to reduce the risk of the investors. In this paper we have proposed a method using back propagation neural network for prediction about a given movie’s profitability. Initially the entire range of profit-loss has been divided into a number of groups. The proposed algorithm can assign a given movie to it’s appropriate profit-loss group. Note that, a similar such method has been successfully applied in the field of Stock Market Prediction, Weather Prediction and Image Processing.
机译:电影业是娱乐业最重要的组成部分。这项业务的损益都很高。与其他所有业务一样,业务预测系统对该行业也起着至关重要的作用。在发行特定电影之前,如果制片公司或发行人获得有关该电影将如何开展业务的任何类型的预测,那么这对于降低投资者的风险将非常有用。在本文中,我们提出了一种使用反向传播神经网络来预测给定电影获利能力的方法。最初,整个利润损失范围都被分为多个组。拟议的算法可以将给定电影分配给适当的利润损失组。注意,类似的这样的方法已经成功地应用于股票市场预测,天气预测和图像处理领域。

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