Interactive IPTV platform Nangu.TV has launched a recommendation engine that it will demonstrate at this year’s ANGA COM.
Nangu.TV’s recommendation engine is based on a combination of algorithms that calculate live data, giving up-to-date results based on viewer behaviour.
The firm said the engine is designed to address the “global issue that viewers face when trying to navigate their way through vast quantities of television content,” and is part of its media platform offering, which provides added features to basic live TV.
Users can navigate the recommendation engine by typing their selection into a search box and then choosing from a list of several choices. Behavioural history is then collected to create a user profile.
“Having access to statistical data about user behaviour is key to providing customer satisfaction. An operator can pre-filter the most relevant content that’s likely to make an impact on the user. As all user data is collected anonymously it makes the user behaviour statistics universal yet rich as they reflect actual user preferences. All this leads to a happier customer and increased ARPU,” said Nangu.TV CTO Zdenek Gerlicky.
Prague, Czech Republic-based Nangu launched the recommendation engine last week and will demonstrate the service at ANGA COM next month on level 10.1, booth 014.
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