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

Film industry is the most important component of entertainment industry. Both profit and loss are very h igh for this business. Like every other business, business prediction system plays a vital ro le for this industry. Before release of a part icular 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 pred iction about a given movie's profitability. In itially the entire range of profitloss 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 Predict ion, Weather Prediction and Image Processing.