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Personalized recommendation benefits

Beenius Recommendation Dashboard enables Pay-TV operators to deliver content based on user preferences which reduces operator’s churn rates, and results in higher user satisfaction. The recommendation system promotes live TV shows, Catch-up, and VOD content to each viewer based on their preferences.

Enhancement of
internal recommendation engine

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User Ratings icon

User ratings

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User statistics

Content Discovery

The Recommendation Dashboard offers improved means of content discovery. It provides recommended content to a particular end-user, and also a powerful content search mechanism. The recommended content can be of any type, including live TV programs, catch-up TV programs, series, and VOD content.

How it works

Personalized recommendations are based on the end-users’ feedback on the content (like/ dislike), consumed content, time of the day, day of the week, and content already viewed by users with similar watching behavior.


To provide recommendations, integration with an external recommendation engine is required. Currently, the recommendation engine supplied by ThinkAnalyics is pre-integrated with the Beenius Recommendation Dashboard. The integration is implemented in a separate Beenius server component and is done on a per-project basis.

Possiblity to combine existing recommendation system with Google Assistant on Android TV STB.


Operators can enable or disable Recommendation Dashboard per subscriber. Several functionalities of Recommendation Dashboard (such as number and order of rows, the launching of Recommendation Dashboard, disabling of end-user consent, UI colors, fonts, font sizes, the layout of some GUI elements, etc.) can be configured.

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