“June 26, 2009: Today our team submitted our solution to the Netflix Prize, resulting in a score of .8558, which corresponds to an improvement over Netflix Cinematch algorithm of 10.05%. This is the first submission in the competition to break the 10% barrier and sets off a 30 day period where all competitors are invited to submit their best and final solutions.
The prize is the award by Netflix for an open competition that started in October 2006 for the best collaborative filtering algorithm predicting user ratings for films from a database of previous ratings. Today the BellKor’s Pragmatic Chaos team submitted an entry that improved on the existing algorithm by 10.05%, exceeding the 10% improvement threshold required of a winner. The team is a collaboration between people from Pragmatic Theory, Commendo, Yahoo and AT&T.
“The Netflix Prize seeks to substantially improve the accuracy of predictions about how much someone is going to love a movie based on their movie preferences. Improve it enough and you win one (or more) Prizes. Winning the Netflix Prize improves our ability to connect people to the movies they love.”