TV channel heat prediction can provide an important basis for business decisions,and a variety of complex factors affectTV channel heat,including the contents of the TV channel and audience groups and other factors.Based on the one week TV channel heat data somewhere,this paper conducts short-term prediction of channel heat by using grey prediction model.By comparing the predicted value with the actual acquisition value,the results prove that,under the condition that the original data is small and the sample is single,gray prediction model can better predict the heat of TV channel in the short and medium term.%针对电视频道热度的预测可以为业务决策提供重要依据,电视频道热度受到多种复杂因素的影响,包括电视频道的播放内容及收视群体等因素.基于某地卫视频道一周的频道热度数据,利用灰色预测模型进行频道热度的短期预测,对预测值与实际采集值进行对比,结果证明在原始数据量少及样本种类单一的情况下,灰度预测模型能较好的对电视频道热度进行中短期预测.
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