Predictive Models For Digital Broadcasting Recommendation Engine

Communication operators are offering to their consumers many services that enable them to consume video content, using different fixed and mobile technologies through different devices, either in their homes or mobile. For operators it is of vital importance to analyze behavior of the consumers in real-time and over longer period of time, to be able to not only maximize revenue and minimize costs, but also to serve consumers better and to reach highest possible level of customer experience. For that reason, operators are using sophisticated recommendation engines to propose to their consumers' content that may be interesting for them. This paper will explain in detail the implementation of such engine in modern content analytics system.