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Netflix, AT&T are Real Winners of Netflix Prize

Posted by: Douglas MacMillan on September 21, 2009

On Monday, video rental service Netflix handed an oversized $1 million check to a team of software engineers who spent the last three years building an improved version of the company’s video recommendation tool. But the more valuable prize may be the sophisticated algorithm which Netflix now gets to implement on its site and which participant AT&T plans to adapt for its own uses.

The goal of the Netflix Prize, announced in 2006, was to improve the Web site’s ability to predict which movies customers will like by 10%. From a field of thousands of entrants, two teams completed this goal in June. The group calling itself BellKor’s Pragmatic Chaos — a joint effort by several of the top competitors — was declared the winner, since it was the first to achieve a 10.06% improvement in movie predicting.

Netflix founder and CEO Reed Hastings believes better predictions will help his company retain subscribers, at a time when viewing choices are expanding to include online upstarts like Hulu and Google’s YouTube. Currently, Hastings says most subscribers “really love” one out of three movies they watch; he expects the improvements created by the Netflix Prize winners will help the company raise that number to two out of three movies. “The more people love movies, the more they watch, and the more they watch, the more they love Netflix and stay with Netflix,” Hastings says.

Here’s a video interview I took of Hastings at the Monday morning event:

Reed Hastings, Founder & CEO of Netflix from Doug MacMillan on Vimeo.

AT&T Research fielded its own Netflix Prize team, who eventually became part of the willing BellKor team. The company was less motivated by the million-dollar purse than by its own business interests, says Chris Volinsky, director of AT&T’s statistics research department. He says the data Netflix provided to entrants made the perfect test lab for AT&T’s own video recommendation service, which aims to let cable subscribers find channels and programs suited to them. “When we first started, the digital TV service was kind of a fledgling product — we didn’t have a lot of data. So being able to work on a real data set with real customers on movies was invaluable to us for developing our models at AT&T.”

Here’s my interview with Volinsky taken moments after he received his prize:

Chris Volinsky, AT&T Research from Doug MacMillan on Vimeo.

Netflix took the occasion to announce a second Netflix Prize, which will incorporate more of the company’s data, like the demographics of its users. The teams who have made the most progress in the new contest by April 2010 and by April 2011 will each be awarded with $500,000.

Will other companies take a cue from AT&T, and use the engineering competition to build their own recommendation engines?

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Reader Comments

Elizabeth Bonilla

September 21, 2009 03:53 PM

I love Netflix!

Mark Pascall

September 21, 2009 03:54 PM

I like the way Reed Hastings thinks. Because making Netflix better is good for me too. Now if AT&T would give Netflix videos priority over their network I'd drop my current cable provider in a heartbeat. Netflix and AT&T way to go.


September 21, 2009 04:52 PM

Bottom line? Netflix is a great service, but Redbox is the wave of the future.......Netbox? Flixbox? Face it guys, time to either team up w/Redbox or go competitive.

Jeff Berlin

September 21, 2009 06:28 PM

couple thoughts,

firstly, what will it mean for engineers who are given these prizes as goals to optimize for? Engineers love goals like these, does this dis-aggregate the community of engineers and potentially create a platform for latent potential out there i.e. hackers?

secondly, wouldn't the best teams have more leverage, for example if they could get 40% improvement, by not submitting the solution and just bidding up the company in such a way as present start-ups haggle prices higher during an acquisition?


November 17, 2009 01:57 PM

Call these guys statisticians, not software engineers. Sure, they're kind of the latter too, but really they're statisticians!!

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BusinessWeek writers Peter Burrows, Cliff Edwards, Olga Kharif, Aaron Ricadela, Douglas MacMillan, and Spencer Ante dig behind the headlines to analyze what’s really happening throughout the world of technology. One of the first mainstream media tech blogs, Tech Beat covers everything from tech bellwethers like Apple, Google, and Intel and emerging new leaders such as Facebook to new technologies, trends, and controversies.



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