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FORECASTING METHOD FOR NUMBER OF AUDIENCE PER DAY OF UNOPENED MOVIE

机译:未开封的电影每天的听众人数预测方法

摘要

The present invention relates to a method for estimating the number of daily audience of an unreleased movie which comprises: a pre-processing step of processing collected movie data; a group classifying step of classifying the movie data into a plurality of groups based on the number of daily audience with the processed movie data; a classification model building step of building a classification model classifying an unreleased movie into one of a plurality of groups according to the group classifying step; a regression and time-series model building step of building a regression model and a time-series model, respectively, for the plurality of groups according to the group classifying step; and an obtaining step of classifying the unreleased movie into one of the plurality of groups by using the classification model when data for the unreleased movie is inputted and obtaining time-series data for the number of audience of the unreleased movie based on the regression model and the time-series model corresponding to the classified group. According to the present invention, it is possible to effectively estimate the number of daily audience of an unreleased movie.
机译:本发明涉及一种估计未发行电影的每日观众数量的方法,该方法包括:处理收集的电影数据的预处理步骤;以及处理电影数据的方法。组分类步骤,基于每日观众人数和处理后的电影数据将电影数据分类为多个组;分类模型建立步骤,根据所述组分类步骤,建立将未发行电影分为多个组之一的分类模型;回归和时序模型建立步骤,根据组分类步骤分别为多个组建立回归模型和时序模型;获得步骤,当输入未发行电影的数据时,通过使用分类模型,将未发行电影分为多个组之一,并基于回归模型获得用于未发行电影的观众数量的时间序列数据;以及与分类组相对应的时间序列模型。根据本发明,可以有效地估计未发行电影的每日观众数量。

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