The Netflix Prize, a remarkable crowdsourcing experiment, refuses to die: runner-up teams have joined forces to overtake the first team to qualify for a $1 million payday by coming up with a movie recommendation system at least ten percent better than the company’s own technology. Teams Bellkor (AT&T Research), Big Chaos, and Pragmatic Theory combined to form Bellkor’s Pragmatic Chaos, the first team to qualify for the prize on June 26 with a 10.05 percent improvement over Netflix’s existing algorithm.
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