Scopus Indexed Paper

Paper Details


Title
Predicting IMDb Rating of Movies by Machine Learning Techniques
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.
Keywords
Movie Rating, Machine Learning, Prediction, Box Office, IMDb
Authors
Warda Ruheen Bristi, Zakia Zaman, Nishat Sultana
Phone
Journal or Conference Name
2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
Publish Year
2019
Indexing
Scopus