Jinni (search engine)
|Media & Entertainment|
|Products||Discovery service for movies, TV shows and short films|
|Slogan||Watch What You Wish For|
Jinni was a search engine and recommendation engine for movies, TV shows and short films. The service was powered by the Entertainment Genome, an approach to indexing titles based on attributes like mood, tone, plot, and structure.
The Jinni service included semantic search, a meaning-based approach to interpreting queries by identifying concepts within the content, rather than keywords. The search engine provided a taste-based video discovery experience by mood, plot and other parameters, and included options to browse and refine with additional terms – for example “action in a future dystopia” or “like: Beautiful Girls, funny.”
Jinni's semantic discovery engine was powered by the Entertainment Genome™, containing thousands of "genes" that are automatically assigned to describe mood, style, plot and setting to every released movie or TV show. These elements were then matched to subscribers' personal tastes according to their viewing history in order to provide a truly personalized discovery experience. Jinni also provided recommendations, according to a given user's favorites and ratings of movies and TV shows. The recommendations were based on content and on the user's taste profile.
As well as discovery, the Jinni website included Internet television, the online streaming of film and TV, mostly only available in the US, e.g. via Hulu. Jinni also linked to other sites that rent or sell DVDs or offer downloading or streaming for a fee, such as Netflix, Amazon and Blockbuster.
Jinni's technology involved a taxonomy created by film professionals, with new titles indexed via Natural Language Processing and Machine Learning methods to automatically analyze reviews and metadata.
The company recently ended its public service in order to focus solely on the ADTECH space with an entertainment audience targeting solution addressed to movie studios, TV networks and OTT video providers.
Jinni was founded in January 2008. Jinni has raised $2.6 million in Round A and seed funding from DFJ Tamir Fishman, Startup Factory and private investors.
In March 2009, the Jinni website integrated with the Netflix developer API. In consequence, people can search the Netflix catalog and Instant Watch catalog from Jinni, and add to their Netflix queues or begin streaming.
In May 2010, Google announced a strategic alliance with Jinni for Google TV.
In May 2011, Jinni announced $5 Million Round B Funding 
In June 2012, Belgian cable operator Belgacom deployed a recommendation engine from Jinni on digital set-tops that allows subscribers to browse for content based on mood. Read more: Jinni deploys mood-based program guide on Belgacom set-tops - FierceCable http://www.fiercecable.com/story/jinni-deploys-mood-based-program-guide-belgacom-set-tops/2012-06-27#ixzz2jsk4STTg Subscribe at FierceCable
In July 2012, Jinni, the semantic television discovery engine, recently teamed up with Swisscom “for integration into On Demand and live TV.
On November 6, 2013, Jinni launched its new customer facing website and iPad application, providing personal recommendations based on a users Entertainment Personality, personalized TV listings, semantic content searches and social based group recommendations.
In May of 2014, Jinni integrated its mood and taste-driven video discovery engine with AT&T’s U-verse TV platform. 
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- "Jinni". Crunchbase. Retrieved 2009-03-14.
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- "Jinni Is Building A Smart 'Taste Engine' For Google TV (Screenshots)". Techcrunch. Retrieved 2010-05-21.
- "Movie and TV show Recommendation Engine Jinni Raises $5 Million". TechCrunch. Retrieved 2011-01-05.
- "Jinni deploys mood-based program guides on Belgacom Set-top-boxes". Fierce Cable. Retrieved 2012-06-27.
- "Jinni Teams with Swisscom for Integration into TV". Semantic Web. Retrieved 2012-07-12.
- "THE VIDEO RECOMMENDATION ENGINE BEHIND THE XBOX LAUNCHES A STANDALONE IPAD APP". Fastcompany web. Retrieved 2013-11-10.
- AT&T U-Verse Revs Up Jinni’s Video Discovery Engine