Netflix offers cash for good suggestions - Technology - International Herald Tribune: "Netflix, a popular online movie rental service, is planning to award $1 million to the first person who can improve the accuracy of movie recommendations based on personal preferences.
To win the prize, a contestant will have to devise a system that is more accurate than the company's current recommendation system by at least 10 percent. And to improve the quality of research, Netflix is making available to the public 100 million of its customers' movie ratings, a database the company says is the largest of its kind ever released.
Recommendation systems, also known as collaborative filtering systems, try to predict whether a customer will like a movie, book or piece of music by comparing past preferences to those of other people with similar tastes. Such systems will look at, say, the last 10 books, movies or songs a customer has rated highly and try to extrapolate an 11th."
Tuesday, October 03, 2006
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