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Content Popularity Prediction Methods - A Survey

机译:内容流行度预测方法-调查

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摘要

Prediction or the forecasting is the way of describing the future event in an efficient manner. Prediction can be used in actuarial science, marketing, child protection, financial services, travel, insurance, telecommunications, retail, mobility, healthcare, pharmaceuticals, capacity planning and other fields. One of the most widely used areas is social networking. So, Social media has an explosive growth of information allowing more users to become content creators and distributors of the web content. So, there exists an online competition, since a few items are getting popular and the remaining items are getting unpopular. Predicting the popularity is very useful in network dimensioning such as caching and replication. In this paper, we present a survey about content popularity methods in various network architectures with various functionalities and present the features that have good forecasting capacity.
机译:预测或预测是有效描述未来事件的方式。预测可用于精算科学,市场营销,儿童保护,金融服务,旅行,保险,电信,零售,移动性,医疗保健,制药,容量规划和其他领域。社交网络是使用最广泛的领域之一。因此,社交媒体的信息爆炸性增长,允许更多用户成为Web内容的内容创建者和分发者。因此,存在在线竞争,因为一些商品越来越受欢迎,而其余商品则变得不受欢迎。预测流行度在网络尺寸(例如缓存和复制)中非常有用。在本文中,我们对各种具有各种功能的网络体系结构中的内容流行度方法进行了调查,并提出了具有良好预测能力的功能。

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