Video Popularity Characterization Centered on News-On-Demand

Provided by: Academy & Industry Research Collaboration Center
Topic: Software
Format: PDF
Video popularity characterization, in a news-on-demand service, is the core issue of this paper. It will concentrate on the digital edition of six Spanish regional newspapers, where the different news articles are classified into a wide variety of issues. Request video data has been analyzed, including how accesses were distributed along the different topics, during a period of nine months, where the number of requests fluctuated between 85,758 and 586,398 over a minimum of 519 videos and a maximum of 4,221. On the one hand, the statistical function from which video popularity would come from is likely to be unknown.

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