A Large-Scale Characterization of User Behaviour in Cable TV
This provides insights for Cable TV operators to enhance user satisfaction and engagement, but it is incremental as it applies existing characterization methods to new data.
The paper tackles the problem of understanding user interactions with Cable TV services (Live TV, Catch-up TV, VOD) by characterizing behavior for a large European operator, analyzing usage, engagement, program types, genres, and time periods to inform recommendation systems.
Nowadays, Cable TV operators provide their users multiple ways to watch TV content, such as Live TV and Video on Demand (VOD) services. In the last years, Catch-up TV has been introduced, allowing users to watch recent broadcast content whenever they want to. Understanding how the users interact with such services is important to develop solutions that may increase user satisfaction , user engagement and user consumption. In this paper, we characterize, for the first time, how users interact with a large European Cable TV operator that provides Live TV, Catch-up TV and VOD services. We analyzed many characteristics, such as the service usage, user engagement, program type, program genres and time periods. This characterization will help us to have a deeper understanding on how users interact with these different services, that may be used to enhance the recommendation systems of Cable TV providers.