Details of the competition are here. The winning team is here. Background on the prize is here. Previous MR coverage is here.
Bravo! I should note that current "recommender" systems don't much help me make further selections.
I thank Jüri Saar for the pointer.
Wait, the winning team’s webpage says other competitors have the next month to enter in their best model.
I really hope they follow this up with another similarly themed contest.
How do they avoid curve fitting their models?
@John: I think contestants got a training data set, and predictions were then tested against subsequent, real ratings from customers (see http://www.netflixprize.com//rules). So overfitting to the training set would not have been an advantage.
“The recommender system is my least favorite part of Netflix”
Worse than the bill?
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