Ooyala combines data, analytics to personalize online video recommendations

Online video platform Ooyala is trying to make discovering video content easier and more personalized, today announcing it's rolling out a new set of algorithms, machine learning and collaborative filtering that already is driving a four-fold increase in consumer engagement with select customers that are trialing the tools.

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Click here to watch a video about ooyala.

Ooyala said the proprietary techniques leverage the data collected from nearly 200 million monthly viewers who watch Ooyala-powered video experiences across the web on it customers' websites, among them companies like ESPN, Miramax and Rolling Stone.

President of product Bismarck Lepe said the company has "been investing in data and analytics for over five years to help video publishers personalize the viewing experience for each and every one of their viewers."

"Ooyala's vision is every screen personalized," Lepe said. "Our new content discovery technology is a major milestone towards that goal. With automated content recommendations and personalized programming guides, we're creating a much stronger connection between content providers and their audience."

For more:
- see this Ooyala blog
- see this release
- see this Multichannel News article
- see this Advanced Television article

Related articles:
Ooyala CTO: An IPO is likely...at some point
Ooyala: Video views on connected TV, mobile devices doubled in Q42011
Ooyala partners with nuvoTV to deliver viewers multi-platform, social experience
Ooyala: Massive shift underway in way we watch online video
New Ooyala tool offers publishers deep psychographic data on viewers

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