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Set-Top Box Analytics
The on-demand nature of today’s television viewing experience is causing Television Broadcasters to change their business models from broad audiences to individual/localized content consumers. Set-Top-Box (STB) Analytics is a segment of data science that can offer valuable insight to TV subscriber behavior and viewership patterns.
In this Knowledge Sharing article, Srinivasan Sivaramakrishnan, Amarendra Tummala, Luciano Tozato, and Wei Lin provide a methodology for various analytics models that can be used to analyze a set-top box’s second-by-second clicking behavior from millions of households.