Predicting IMDb Rating of Movies by Machine Learning Techniques

dc.contributor.author	Bristi, Warda Ruheen
dc.contributor.author	Zaman, Zakia
dc.contributor.author	Sultana, Nishat
dc.date.accessioned	2021-09-28T09:10:49Z
dc.date.available	2021-09-28T09:10:49Z
dc.date.issued	2019-12-30
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6214
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE	en_US
dc.subject	Motion pictures	en_US
dc.subject	Machine learning algorithms	en_US
dc.subject	Machine learning	en_US
dc.subject	Encyclopedias	en_US
dc.subject	Electronic publishing	en_US
dc.title	Predicting IMDb Rating of Movies by Machine Learning Techniques	en_US
dc.type	Article	en_US