Jinni uses TMS metadata for recommendations
Jinni said it is using TMS’ On Entertainment metadata to provide availability information for linear TV and OTT content on its recently announced iPad app and web service.
Jinni attempts to go beyond the most basic categories (genre, actors, directors) to include what it calls “taste and mood” attributes such as mood, style, plot and setting. The company said it evaluates literally thousands of factors, which means Jinni’s recommendation engine has to rely on metadata that can very finely slice-and-dice the attributes of any video.
Use of On Entertainment data from TMS enables the advanced search and discovery functionality offered by the Jinni service, Jinni said.
TMS Unique IDs synchronize entertainment assets across multiple datasets, which facilitates discoverability across linear TV, VOD and OTT content. This enables Jinni’s My TV & Movie Guide app and web service to provide viewers with information on when and where to watch the content recommended, no matter the source.
TMS clients include Microsoft, Yahoo!, TiVo, Comcast, Verizon FiOS TV, IMDb, Virgin Media UK, Com Hem, DIRECTV Latin America, SKY Brasil and Cablevision Mexico.
Jinni powers semantic video discovery for Time Warner Cable, Xfinity, Xbox, VUDU and other tier-one TV and OTT providers worldwide.