After nearly three years and entries from more than 50,000 contestants, a multinational team says that it has met the requirements towin the million-dollar Netflix Prize: It developed powerful algorithms that improve the movie recommendations made by Netflix?s existing software by more than 10 percent.
The online movie rental service uses its Cinematch software to analyze each customer?s film-viewing habits and recommends other movies that customer might enjoy. Because accurate recommendations increase Netflix?s appeal to its customers, the movie rental company started a contest in October 2006, offering $1 million to the first contestant that could improve the predictions by at least 10 percent.
Teams have been working on the task ever since, with some coming tantalizingly close to the magic threshold.
On Friday, a coalition of four teams calling itself BellKor?s Pragmatic Chaos ? made up of statisticians, machine learning experts and computer engineers from America, Austria, Canada and Israel ? declared that it has produced a program that improves the accuracy of the predictions by 10.05 percent.
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