Posts Tagged ‘recommendation engine’

Jinni Powers VUDU’s New Discovery Experience with Robust Semantic Taste & Mood Based Features

jinniNEW 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

Rovi Acquires Content Discovery and Navigation Innovator Fanhattan

roviNovember 3, 2014 – Santa Clara, Calif. — Rovi Corporation, a leading provider of advanced entertainment discovery, data analytics, and monetization solutions, announced today that it has acquired Fanhattan, a venture-backed startup, in an all-cash transaction.  Fanhattan pioneers innovative ways to discover media and entertainment on any screen, from any source, through its cloud-based Fan TV branded products. Read more

Smart Recipe Platform Yummly Brings Contextual Recommendations to iOS Apps

YummlyREDWOOD CITY, CA–(Marketwired – Oct 28, 2014) – Yummly (http://www.yummly.com), the leading innovator in recipe search & discovery, announced today, the introduction of contextual recommendations on the iPhone and iPad apps. When users open the app, in addition to personalizing the content to a user’s tastes, Yummly will now tailor to a person’s time, place and patterns.

Yummly’s proprietary Food Genome and patent-pending Food Intelligence technology already blends together to create an unmatched user experience with data-driven features such as personalized recommendations, semantic search, and a smart shopping list. With the new contextual recommendations functionality, it is bringing together more relevant and dynamic content to the users by leveraging a combination of contextual signals such as time of day, day of week, season, location, trends and more. Read more

Your TV May Soon Tell You What You Want to Watch

nhkJohn Boyd of IEEE Spectrum reports, “With satellite, cable, and terrestrial TV stations broadcasting in the hundreds and Internet-based entertainment content companies also competing for viewers’ attention, finding something to watch is, strangely, a growing challenge. To help simplify the task, researchers at Japan’s public TV and radio broadcaster Nippon Hoso Kyokai, better known as NHK, plan to begin testing technology to automatically assess in real time a viewer’s interest in a TV program or video and then suggest other programs to watch based on the results.” Read more

Leiki and Outbrain Partner to Bring Global Consumers More Engaging Online Content

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HELSINKI, Finland, July 17, 2014 /PRNewswire/ — Leiki, Ltd, a leading provider of content discovery solutions for publishers and advertisers announce today that it has agreed with Outbrain, Inc, to enhance the relevancy of their related and sponsored content delivery. As a result of this cooperation, consumers will see content recommendations that are more directly relevant to the articles they are reading and publishers and sponsors will enjoy higher consumer engagement.

 

Outbrain will use the Leiki Focus semantic engine to analyze web pages using the Leiki-proprietary 130,000 contextually definitive topics. The resulting weighted profile consists of the 50-200 most relevant topics and provides a highly accurate and detailed “context fingerprint”. Outbrain will use this as part of their core delivery system to find matching articles from within the publisher’s domain as well as among the Outbrain sponsored content network. Read more

Jinni Integrates Video Discovery Engine with AT&T U-verse TV Platform

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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

Veveo Awarded New Patent for Generating Personalized Cross-Platform Recommendations

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[Editor’s Note: Sam Vasisht, Chief Marketing Officer of Veveo discussed Veveo’s use of conversational user interfaces at the recent SemTechBiz Conference in New York.]

ANDOVER, MA–(Marketwired – Oct 7, 2013) - Veveo, a leading provider of semantic technologies to bridge the usability gap in connected devices and applications with intelligent search, discovery and personalization solutions, announced today that it has been awarded a new patent in the field of personalized recommendations by the United States Patent and Trademark Office (USPTO). This marks the tenth patent awarded to Veveo this year and brings its total count of issued patents to 42.  Read more