IMDb data from two generations (1979 to 2019). Part one: Dataset
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"IMDb.com" as a user-regulating and one the most-visited portal has created an opportunity to create an enormous database. Analysis of the information on Internet Movie Database - IMDb, either those related to the movie or provided by users, would help to reveal the determinative factors in the route of success for each movie. As the lack of a comprehensive dataset was felt, we determined to do create a compendious dataset for the later analysis using the statistical methods and machine learning models. The present paper is the first paper in a series of papers aiming the mentioned goals, by a brief description of the created dataset and a demo of data analysis.
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