A huge amount of video content has been generated on the Internet, and user attention
among those videos is allocated in an asymmetric way, with the vast majority barely noticed …

Understanding the characteristics and predicting the popularity of the newly published
online videos can provide direct implications in various contexts such as service design …

Predicting the popularity of online videos is an important task for the service design,
advertisement placement, network management, and so on. In this paper, we tackle the …

Predicting the video popularity is an essential part of fast growing online media services. It is
beneficial to an array of domains, from targeted advertising, personalized recommendation …

Video popularity (measured by view count) over time is an essential reference for both
online video providers and users. According to state-of-the-art works, video popularity is …

Popularity prediction of online video is widely used in many different scenarios. It can not
only help video service providers to schedule video web sites, but also bring considerable …

Predicting the top-N popular videos and their future views for a large batch of newly
uploaded videos is of great commercial value to online video services (OVSs). Although …

In this work, we propose a regression method to predict the popularity of an online video
measured by its number of views. Our method uses Support Vector Regression with …

Predicting the popularity of videos on video sharing sites is important for the formulation of
online advertising strategies and commercial marketing. The predicted popularity value can …

Online content popularity prediction provides substantial value to a broad range of
applications in the end-to-end social media systems, from network resource allocation to …