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.
Use of industry standard On Entertainment data from TMS enables the advanced search and discovery functionality offered by the Jinni service to directly connect with viewing information for all linear TV and OTT content sources. TMS Unique IDs synchronize entertainment assets across multiple datasets which facilitates discoverability across linear TV, VOD and OTT content.
“This innovation is just the latest example of Jinni’s exceptional content discovery capabilities,” Shannon Oborne, VP Marketing, told IP&TV News. “There’s so much versatility with the TMS datasets, it’s fascinating to see creative designs like this come to life.”