MOVIE SUCCESS PREDICTOR

Prithvi Sharan S

Volume : VI, Issue : VI, June - 2016

MOVIE SUCCESS PREDICTOR

Prithvi Sharan S

Abstract :

 In this paper, we propose a movie success predictor which will predict the likelihood of a movie to be successful in theatres. We first propose the various parameters to be considered which include the actors’ ratings, the director’s ratings, the budget, popularity of the trailer to name a few. The parameters will then be considered and using Artificial Intelligence concepts, a success number will be generated. This number generated will also be stored in the database for further learning by the proposed machine. The proposed machine will obtain ratings and other relevant data from different resources, IMDb and Rotten Tomatoes to name a few. Using the genetic algorithm and the, significnt input variables are determined. Furthermore, three machine learning–based nonlinear regression algorithms and their combinations are employed for building forecasting models. We also propose to use Social Networking Services’ (SNS) to better the results. With this knowledge, we expect the performance of our proposed machine to be high.