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|Title:||Modeling and quantifying the forces driving online video popularity evolution||Author(s):||Siu, Wan Chi||Author(s):||Wu, J.
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.
|URI:||https://repository.cihe.edu.hk/jspui/handle/cihe/2276||CIHE Affiliated Publication:||No|
|Appears in Collections:||CIS Publication|
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