Predicting IMDb Rating of Movies by Machine Learning Techniques

Author:

Prof. Pathan Sir 1,Narache Abhiruchi 1,Kotalwar Shrutika 1

Affiliation:

1. Gramin Collage of Engineering Vishnupuri, Nanded, Maharashtra, India

Abstract

Film Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie’s box office success, popularity etc. A huge data is available online about these movies success or popularity. We have used Hollywood movie list from Wikipedia and their rating from IMDb movie rating website to create our data set. Then machine learning classification algorithms are applied of the data set. Lastly an efficient model is developed to predict a movie’s IMDb rating. The model gives good classification measures with the data set. Index Terms-Movie Rating, Machine Learning, Prediction, Box Office, IMDb.

Publisher

Naksh Solutions

Subject

General Medicine

Reference8 articles.

1. [1] Internet Movie Data Base. URL: https://www.imdb.com

2. [2] M. H. Latif and H. Afzal, “Prediction of movies popularity using machine learning techniques,” International Journal of Computer Science and Network Security (IJCSNS), vol. 16, no. 8, p. 127, 2016. 5.

3. [3] http://www.statista.com/statistics/259985/global-filmedentertainment-revenue/

4. [4] https://www.researchgate.net/publication/22253039

5. [5] E. Frank, I.H. Witten, Data Mining, Morgan Kaufmann Publishers, 2000.

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