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Swisscom Teams Up With Jinni to Bring Semantic Discovery to Live TV & VOD Subscribers

Award-Winning Taste-and-Mood Based Discovery Engine Gives Swisscom Customers a Personalized and Holistic Semantic Discovery Experience (July 10, 2012)

TEL AVIV, ISRAEL -- (Marketwire) -- 07/10/12 -- Jinni, the innovative, new taste-and-mood based discovery engine for movies and TV shows, announced its partnership with Swisscom for integration into On Demand and live TV. The Swisscom service will offer its customers an intuitive, user-centric guide to seamlessly integrate discovery, content recommendations and viewing.

"The shift to on demand TV is fueling innovation in delivery and discovery solutions," said Jinni CEO and Co-founder Yosi Glick. "Swisscom continues to lead at the forefront of this rapidly developing market and Jinni is proud to partner with Swisscom to deliver semantic video discovery solutions across the impressive Swisscom content catalogs." Jinni's unique approach to discovery integrates semantic search, explore and recommendations to intuitively find enjoyable and relevant content. Together with the Swisscom delivery platform, customers will enjoy a truly optimized viewing experience. "We believe that integrating Jinni's semantic engine into our content platforms, in a way that will enable our subscribers to explore content intuitively, is a great step towards offering them a truly revolutionized home entertainment experience," said Volker Dietzel, Head of TV and Portal Development at Swisscom.

Jinni-powered TV guide features:

Taste Channels - personalized channels based on different facets of the user's tastes. Each taste channel represents a distinct taste within the user's 'Entertainment Personality,' enabling effortless content selection according to the user's current mood.


Live for You - answers the burning question "What's currently airing on TV for me?" by presenting personalized listings of the TV programming currently available on live broadcast television, by matching local schedules with the viewer's Entertainment Personality and tastes.

Explore (e.g. guided semantic search) - an active mode of content discovery through use of natural metaphors ("mind bending, stylized, uncover truth," "feel good, nothing goes right, obsessive quest"). Explore is a smart and easy way to reach relevant content in an increasingly growing and saturated environment.

Social Recommendations - TV viewing is a living room experience where household members should enjoy entertainment together, rather than arguing over what to watch. 'Watch Together' enables users to find TV shows and movies that suit their combined Entertainment Personalities by suggesting content they will enjoy watching together. 'Neighbors' generates recommendations based on content viewed and enjoyed by other users with similar Entertainment Personalities.

About Jinni Media
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™, 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.

Contact:
Roi Ophir
Jinni
Tel: +972 54 7959562
Email: Email Contact

Media Contact:
Katie Blair
Tel: 407.767.0452 ext. 229
Email: Email Contact


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Related Keywords: Jinni, Swisscom, VOD, semantic, TV, Movies, content discovery, TV Guide, Social Recommendations, Home, Internet, Movies & Music, Web, Movies by Genre, Search, Video, Israel, Marketwire, Television, Internet Technology, Biology, Computer Science, Genetics, Entertainment, Other,

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