Predicting content consumption from content-to-content relationships
Abstract
As the majority of Internet traffic today is attributed to content-centric applications, there has been ever-increasing demand for highly scalable and efficient content delivery. An accurate prediction on future content consumption is essential for such demand. To address such an issue, this paper introduces a new computational approach, Content Network (CN) that can capture the relations among contents, and its potential applications. We...
Paper Details
Title
Predicting content consumption from content-to-content relationships
Published Date
Apr 1, 2019
Volume
132
Pages
1 - 9
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