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.
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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.
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.
The search mechanism provides entering the search patterns using zhe convenient ABCD (or QWERTY) keyboard, and a “live” search, i.e., after at least three characters have been entered. Search is performed over Title, Director, and Actor content metadata. Each content is also connected with its “similar” content, so it is easy for end-users to find other content of interest.
Google Assistant search is enabled for Android TV STBs.
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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.