基于时空相关性的数字电影放映场次预测

为提高数字电影流动放映中各院线放映场次的预测精度,基于院线放映场次的时空相关性,提出一种最邻近法和时空序列相结合的预测方法：通过最邻近法选取与待预测院线放映最相关的院线作为预测辅助院线;通过构造神经网络的时空序列将这些相关院线放映场次的时、空特征结合起来,产生更精确的预测模型。实验对比分析了此方法与传统时间序列预测方法的预测结果,证明了该方法具有更高的预测精度。

Digital Film Screening Forecast Based on Spatio-Temporal Correlation

In order to improve the forecast accuracy of film screenings in each cinema in the mobile digital film projection,this paper proposes a new method combining nearest neighbor method and spatio-temporal sequence together based on the spatio-temporal correlation of cinema screenings.Firstly nearest neighbor method was used to find cinemas which correlated the predicted cinema closely.Secondly,spatio-temporal sequences used for a neural network were constructed to combine the spatio-temporal characteristics together,getting more accurate forecast model.Experiments compared the forecast result of this method with the tradition one,demonstrating its higher accuracy.