The Netflix Prize: Quest for $1,000,000
Sunday, 9/11, 11:15, Schreiber 309
Speaker: Yehuda Koren, Yahoo! Research
Abstract: The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past user-item relationships. Their significant economic implications made collaborative filtering techniques play an important role at known e-tailers such as Amazon and Netflix. This field enjoyed a surge of interest since October 2006, when the Netflix Prize competition was commenced. Netflix released a dataset containing 100 million anonymous movie ratings and challenged the research community to develop algorithms that could beat the accuracy of its recommendation system, Cinematch. In this talk I will survey the competition together with some of the principles and algorithms, which have led us to winning the Progress Prizes in the competition.