Source: Tom's Guide US | Keywords: Netflix, $1, million, contest | Themes: Home Theater, Digital Entertainment
A team of seven researchers have won the $1 million prize through a contest run by Netflix.
Netflix's $1 million contest was launched almost three years ago in October 2006. The aim of the game was to develop a recommendation system that was more accurate than the Cinematch system Netflix already uses. As you can imagine, $1 million isn't exactly pocket change and, while there was probably a lot of folks who dreamed of taking the prize home, it took a team of scientists several years to get to the finish line.
NYT reports that Netflix formally announced the winners yesterday afternoon. Dubbed BellKor's Pragmatic Chaos, the group of seven statisticians, machine-learning experts and engineers hail from the U.S., Austria, Canada and Israel. The announcement isn't without drama, as there were actually two winners who, once they crossed the finish line submitted even, tied results.
A couple of months back, Netflix announced that BellKor had developed software that was the required 10 percent more accurate than Cinematch. As per the contest rules, there was then a 30-day period in which other contestants could try to beat BellKor and one other team, Ensemble, came incredibly close.
While Netflix publicly said the difference between the two was too close to call, NYT reports that it privately told BellKor it had won. Yesterday Netflix CEO, Reed Hastings, explained exactly what had happened.
The contest rules state that in the event of a tie, the team who presents its submission first, wins. The BellKor team members submitted theirs just 20 minutes before the deadline but at the last second, Ensemble presented its own submission.
“That 20 minutes was worth $1 million,” Mr. Hastings said at a press conference.
Read the full story here.
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Good for them, they worked hard and made a new innovation i hope they spend it wisely.
This sounds incredibly subjective but hey, I'm glad they got the money.
Netflix as made a good deal, payed seven researchers 4000 $ a month each for 3 years for a good result and payed 0$ the other uncounted researchers for a not as good result.
Hehe, now the hard part is how to divide the money when you factor in the human greed into the equation.
I'll be interested to see what sorts of recommendations I get from Netflix now. My biggest "wish list" item for them, however, is that they would carry a lot more selections in their "Watch it Now" category.
Nice work. I'd rather wait for them to sharpen some edges in another 30 days just for a tie-break, as possibly one of the teams probably was making some last minute checks before posting.
bet the guy who was submittting for the other team regrets taking that bathroom break now.
The losing team probably was busy making final tweaks trying to stretch every last second they could out out the deadline. Too bad they didn't start 30 minutes earlier that day!
hope they've come up with a system up to last.fm's standards for that money!