Jinni, The Semantic Taste & Mood Based Discovery Engine For Entertainment, Launches STB

written by: Richard Kastelein

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Jinni, the semantic taste & mood based discovery engine for entertainment, has announced the launch of the first Jinni-powered set-top-box providing TV subscribers with a truly user-centric content discovery and viewing experience over linear TV and VOD. Introduced progressively by European IPTV operator (Belgacom), starting June 19th, this enables the subscribers to benefit from a complete cross-platform content consumption experience.

Belgacom partnered with Jinni in September 2010 and took part in the startup's second round of funding, in early 2011. The already available platforms include an online service, mobile app and Connected TV app, all powered by the Jinni engine. The Jinni cross-platform experience is part of Belgacom's hard-hitting strategy, aimed at maintaining competitive advantage by offering a superior service to its customers.

Yosi Glick, Jinni Co-Founder & CEO, adds:

"We are very happy with the opportunity given to both sides and look forward to hearing about their subscribers' experiences with the new features, as they have been given the good fortune to be the first consumer market to benefit from user-centric discovery across linear TV and VOD."

The new features Belgacom TV subscribers can now enjoy include: after they opt-in

(i) personal "Taste Channels" offering content that reflects the viewer's personal taste combinations, from which he can select content according to his changing moods; after they opt-in

(ii) the "Live for Me" feature, which finally provides an easy answer to the basic question "what's airing right now that I would enjoy?" by offering the viewer a refreshing new look at his programming schedule, showing the upcoming movies, shows and series that fit his profile;

(iii) advanced explore and discovery options -- rather than searching VOD catalogs or saved programming via genres or general category identifiers, Jinni's Entertainment Genome will enable viewers to search for available content in a semantic and intuitive manner, by searching using natural language metaphor. For example: a search query for "funny and cynical friendships in the city" will lead to results that would not have been found if looking under "Comedy" or "Drama."

Jinni is the first and only taste-and-mood based engine powering video discovery. Using content genetics and nuanced understanding of user tastes, the Jinni engine powers a uniquely intuitive, personalized experience that increases content consumption and reduces churn. The Jinni service is powered by the Entertainment Genome(TM), containing thousands of genes that are assigned to each title to describe mood, style, plot, setting and more; this is a rich alternative to the usual genre language. New titles are automatically indexed via analysis of user reviews and synopses, using a proprietary Natural Language Processing solution.

Jinni's content discovery solution has been voted "Best Product Idea" by CableLabs. Jinni is a Webby Awards honoree, a Red Herring 100 Europe winner, an OnHollywood 100 winner, a SXSW Web Awards nominee, a TechCrunch Europas nominee and was selected as the best movie recommendation engine by CNET and Lifehacker. To see Jinni's award winning engine at work, visit www.jinni.com.

 

 

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