a user-regulating and one the most-visited portal has created an
opportunity to create an enormous database. Analysis of the in-
formation on Internet Movie Database - IMDb, either those related
to the movie or provided by users, would help to reveal the de-
terminative 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 pa-
per 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.
