Conversation-Friendly Metadata for Smarter Searches
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APEX Insight: Metadata is not just about inputting the correct title, cast and synopsis for a movie. With semantic data, it could result in smarter searches that result in more personalized content curation that can understand, “That other movie that starred the guy who played Poe Dameron.”
Talk like a human, not a machine – that’s how advanced metadata could enable future passengers to search the in-flight catalogue, says Charles Dawes, senior director, International Marketing, Rovi. Results could be generated from famous quotes, awards movies have won and acronyms of popular TV shows like OITNB (Orange is the New Black) and HIMYM (How I Met Your Mother). “That’s the expectation that people have around discovery [of entertainment content],” said Dawes. “All the components are there to be able to do it, we just have to enable it.”
Talk like a human, not a machine – that’s how advanced metadata could enable future passengers to search the in-flight catalogue, says Charles Dawes, senior director, International Marketing, Rovi.
Metadata, generated by both machine and human input, is the stuff that describes a piece of video or music. It enables cataloging and content curation by identifying the links between different types of entertainment categories – what song is in a movie, how one movie is related to another, and even misspellings of “Schwarzenegger.” Dawes gives the example of a search for “aliens” in a movie library that could bring up alien movies E.T. the Extra-Terrestrial and Species – two very different types of aliens. “You’ve got to deeply understand the content, the consumers and context of the moment,” he said.
While technical data provides the duration of a video or the year it was produced, editorial data considers events in social media, sports, Wikipedia, music reviews and gossip sites, Dawes says. Smart tagged content could bring up movies starring Leonardo DiCaprio shortly after his big Oscar win and see a link between Taylor Swift’s Fearless album and Taylor Lautner in Twilight – back when they were dating of course.
And with voice command technology in play, as demonstrated in Rovi’s Fan TV app, boolean searches that emulate our stream of consciousness – like, “all James Bond movies without Sean Connery” – could even bring up accurate results.