Pre-Release Success Quotient Prediction of Movies

Harsh Taneja, Anupam Dewan, Vineet Bhardhwaj

Abstract: n this research work we have developed a mathematical model for predicting the success quotient of the movies in terms of revenue model and rating model. We have develop a model in which the past data record of each component [e. g. actor, actress, genre, director] that influences the success or failure of a movie is considered. Knowing which movies are likely to succeed and which are likely to fail before the release could benefit the production houses greatly as it will enable them to focus their advertising campaigns which itself costs a lot.

Keywords: Movie, Movie Revenue prediction, Big Data, Movie Rate Prediction, Box Office Collection, nlfit, hougen, mrfit, mrval, logistic, MSE, Neural Networks, Regression