NEW YORK & TEL AVIV, Israel–(BUSINESS WIRE)–Jinni, the world’s leading semantic discovery solution provider for linear TV and on-demand content announced today that it is powering the semantic taste-based discovery experience features for VUDU, a Walmart company and a leader in OTT video streaming with the world’s largest HD library. VUDU has joined other leading US content providers who have adopted Jinni’s Emmy® award winning semantic technology to provide users with an intuitive content discovery experience based on their personal tastes and mood. Jinni’s solution is part of VUDU’s next generation UI providing millions of online US users with mood based search and taste based recommendations over smart TVs, desktops, game consoles, second screen and internet-connected DVD/Blu-ray players. Read more
Posts Tagged ‘Jinni’
Jeff Baumgartner of Multichannel News reports, “Marking its biggest win on the Ericsson Mediaroom platform and its largest pay-TV deal so far, Jinni said it has integrated its mood- and taste-driven video discovery engine with AT&T’s U-verse TV platform. AT&T is using Jinni’s platform to help viewers discover content from its video-on-demand library, having implemented the feature about three weeks ago, ‘with more to come,’ according to Jinni CEO Yosi Glick. Jinni has developed a proprietary ‘Entertainment Genome’ that uses individual tastes, moods and prior consumption patterns at the device level to create video recommendations.” Read more
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What to Watch:
The April Fools: a late 60’s romantic comedy starring Jack Lemmon and Catherine Deneuve
April Fool’s Day: called a “gory, darkly comic cult favorite” from the late ‘80s.
April Fools: The day belongs to the slasher flicks, this one centering on the accidental killing of a teen, its coverup, and subsequent murders of those responsible for the original incident.
What To Listen To:
Sounds of Silence: The Simon & Garfunkel release includes the song, April Come She Will. And after this winter, that’s something a lot of people will be very happy to hear.
Rapid TV News reports that Ooyala and Jinni have joined up to deliver advanced video discovery technology. The article states, “The two personalisation leaders are targeting media companies, broadcasters and pay-TV operators with their new proposition that will integrate Ooyala’s machine-learning big-data analytics systems with Jinni‘s semantic discovery to deliver what the two companies call a powerful new level of video personalisation for all screens. The two companies will work together to develop and deploy what they claim will be a new level of machine learning powered by semantic discovery that will allow TV providers to tailor programming and video viewing experiences to each individual user. This will include personalised channels, custom programming guides, mood-based browsing and search, and viewer recommendations for both live and video-on-demand (VOD) content.” Read more
TEL AVIV, Israel–(BUSINESS WIRE)–Jinni, the creators of the world’s first and only semantic video discovery engine, announced its taste-and-mood based recommendations will reach TV audiences across Spain on CANAL+/YOMVI network. This is the first Spanish language Set-top box deployment of the multilingual Jinni solution and represent a further penetration of the next-generation user experience into the TV market in Europe with linear TV and on demand content recommendations. Read more
CHICAGO, Dec. 4, 2013 /PRNewswire/ – TMS, the international leader in entertainment navigation, and Jinni, the first and only taste-and-mood based semantic discovery engine for video, have announced that Jinni is using TMS’ world-class On®Entertainment metadata to provide availability information for linear TV and OTT content on its new ‘My TV & Movie Guide’ iPad app and web service. As a result, once consumers find something great to watch using Jinni’s taste and mood based recommendation engine, they can easily find when and where to watch it. Jinni’s superior recommendations are seamlessly integrated into the viewing experience and deliver the most personalized and relevant TV and movie options to end users. Read more
Darrell Etherington of Tech Crunch recently reported, “After a successful pilot project, Tel Aviv startup Jinni [a company we have covered multiple times over recent years], a provider of natural language processing-based video content recommendations, has been chosen by Xbox to power its Xbox content catalog recommendations over the course of a multi-year licensing agreement. Jinni wouldn’t reveal the terms of the deal, but it will bring their tech front and center to the Xbox and its show and movie library.” Read more
Yosi Glick, co-Founder and CEO of semantic taste engine Jinni, recently wrote a post about the technology and engineering Emmy award that is to be given to Amazon’s Instant Video for its personalized recommendation algorithms.
The basis for awarding the honor, he writes, lies with Amazon’s early item-to-item collaborative filtering (CF) algorithms that analyze consumer data to find statistical connections between items and then uses that as the basis for recommendations. But, says Glick, the company may be soon heading toward a fundamentally different approach.
“Amazon,” Glick explains, “is using the Emmy award to flaunt its latest Video Finder service, that seems to leave CF behind and embrace a new semantic approach to recommendation.”
Amazon is embracing semantics for its video content because it realizes that video is different than regular consumer items. TV and movies are “entertainment that is consumed based on personal tastes and our particular mood at the moment. The types of content each of us enjoy is not based on what ‘other people have also watched’, rather it has to do with the plots, moods, style and pace,” he writes. “So content has to be described and discovered the same way we choose and experience it.”
Categories in Amazon’s Video Finder service include classifications that describe the mood, plot, style and pace of titles — meaningful classifications that Glick says are the basis for semantic discovery. You can read the entire piece here.
Starting today, if you’re a customer of Singapore Telecommunications Ltd. in Malaysia, you’re going to be able to expand your notions of a more personalized web experience.
The company’s SingTel Digital Life Division has partnered with Nara to integrate its proprietary cloud-based neural network technology into its products. Nara today is best known for providing personalized restaurant recommendations: Its “digital DNA” algorithm adds up the sum of what it learns of what each person likes and doesn’t like regarding dining venues in order to serve up restaurant choices (see our story here).
Personalized experiences for SingTel customers will start at the restaurant level, too, with the Malaysia rollout followed by the debut of these services in Australia and Singapore. Nara always has said that its technology can expand beyond the restaurant domain, however, and a spokesperson for the company says such plans are still in the works, though she can’t provide a more definitive timeline.
The deal is not the first semantic matchup for SingTel, south-east Asia’s largest telecom operator.
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