Solution leverages semantic discovery technology.
Jinni, a search engine and recommendation engine for movies, TV shows, and short films, has debuted a natural language understanding discovery engine to power the first voice-activated video guide that understands natural human language.
The solution leverages semantic discovery technology to create the first NLU engine to power the voice-activated TV experience, allowing users to speak freely to find what they want to watch.
Jinni said that until now, the voice-activated TV experience was limited to basic commands because that was all the guide could process. The Jinni NLU engine uses the company's Entertainment Genome to interpret natural human speech and derive the underlying meaning to enable intuitive interaction between users and their TVs. With the solution, users will be able to tell their TV what they are in the mood to watch and Jinni will find the most fitting content from live TV, Video on Demand, and any other available video catalog.
"Consumer demand has changed dramatically, and today people expect to be able to interact with technology in a very natural, personalized way," said Jinni cofounder and CEO Yosi Glick, in a statement. "This is the core belief that inspired our semantic approach to video discovery and has allowed us to bring such an advanced NLU solution to market so quickly."