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Predicting IMDb Rating of Movies by Machine Learning Techniques

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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

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