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Title: Modeling and quantifying the forces driving online video popularity evolution
Author(s): Siu, Wan Chi 
Author(s): Wu, J.
Zhou, Y.
Issue Date: 2018
Video popularity is an essential reference for optimizing resource allocation and video recommendation in online video services. However, there is still no convincing model that can accurately depict a video's popularity evolution. In this paper, we propose a dynamic popularity model by modeling the video information diffusion process driven by various forms of recommendation. Through fitting the model with real traces collected from a practical system, we can quantify the strengths of the recommendation forces. Such quantification can lead to characterizing video popularity patterns, user behaviors and recommendation strategies, which is illustrated by a case study of TV episodes.
CIHE Affiliated Publication: No
Appears in Collections:CIS Publication

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