HuffPo: Machine Learning Yields Personalized Video Streams
Posted November 10, 2016
Share To
Tweet
EmailIRIS.TV wants to change the way you watch video. Using a computer algorithm to analyze viewing habits and content, IRIS.TV will be able to tell you what kind of videos you will want to watch based on your watch history. It's like Pandora for video.
Most video recommendations today work by analyzing what video you watch and then cross referencing what videos other people who watch that watch as well. IRIS.TV, rather, wants to analyze the actual content and use machine learning to suggest similar videos.
“We ingest the archive from a publisher, look at the content and meta data on the content, structure and classify it so that the content is more easily discoverable over time,” Garthwaite says in an interview with Beet.TV. “We match the right video to the right viewer in real time.”
This translates to several hundred million video views through the IRIS.TV Video Programming Platform each month. “Some of our customers alone have over a million videos,” says Garthwaite.
For the average publisher, about 80% of its audience “will actually leave before the first video ends,” according to Garthwaite. But the other 20% is there to watch as much as they can. “They will stick around and watch another video and basically, like science, IRIS is able to consistently drive another four to eight videos for those kind of super users we call them.”
The company believes that while the majority of video viewing has been on social media, companies and marketers experience poor unit economics and lose control of their audiences. Not surprisingly, Facebook and YouTube are some of the only video players IRIS does not work with.
Featured Courses
Recent Posts
The Future of News is NOT TikTok, It’s Netflix
December 18, 2024
Character-driven journalism is not new to newspapers, though it once was. It was once called The New Journalism in the 1960s — see Truman Capote or Tom Wolfe. Today it is industry standard. Why not take the Sopranos or Breaking Bad formula and marry it to TV journalism? (How many interviews have you seen in The Sopranos? How many Man on the Street soundbites have you seen in Breaking Bad?)
Good News is actually Good News
October 14, 2024
In a recent study by The Reuters Institute, 40% of Americans no longer watch or read the news at all. They find it too depressing. All doom and gloom.
The Future of News: TikTok or Netflix
September 09, 2024
There is a great deal of concern, well placed, that few people under the age of 30 watch TV news. Viewership of TV news in general has fallen off, so naturally, TV executives across the boards are searching for a solution. How to appeal to a demographic that spends most of their time on social media?