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.
“Jinni discovery solution was designed to bring best-of-breed user experience to global tier-1 TV providers”
“Jinni discovery solution was designed to bring best-of-breed user experience to global tier-1 TV providers,” explains Yosi Glick, Co-founder & CEO of Jinni. “Our unique semantic technology is easily adapted to any language, giving Jinni and our customers a huge market advantage.”
CANAL+ is the leading digital entertainment platform in Spain, encompassing a broad family of channels and has consolidated itself as the top brand in the world of audiovisual content.
About CANAL+ and YOMVI
CANAL+ is a Spanish Pay TV broadcaster. The quality of content is what sets CANAL+ apart. Standing out from the crowd means showing all the latest hit movies, the Oscars, acclaimed and trendsetting TV series, all Spanish football, the Champions, Premier and Calcio Leagues and the best of international football, the NBA, exclusive action from Wimbledon, the Masters 1000, the big four golf tournaments, the Ryder Cup, and the Super Bowl.
Jinni is the first and only taste-and-mood based engine powering entertainment discovery. Using content genetics and nuanced understanding of user tastes, the Jinni engine powers a uniquely intuitive and personalized experience that increases content consumption and consumer satisfaction.
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, which benefits both the quality of the content delivered as well as the intuitive semantic-based user experience. New titles are automatically indexed via analysis of user reviews and synopses, using a proprietary Natural Language Processing solution.
Original Release: BusinessWire
Image: Courtesy Jinni