Insights from the Netflix contest
The neat recent Wall Street Journal article Netflix Aims to Refine Art of Picking Films (Nov 20, 2007) was sent to me by Moshe Cohen, one of my dedicated ex-data-mining-course students. In the article, a spokesman from Netflix demystifies some of the winning techniques in the Netflix $1 million contest. OK, not really demystifying, but revealing two interesting insights: 1) Some teams joined forces by combining their predictions to obtain improved predictions (without disclosing their actual algorithms to each other). Today, for instance, the third best team on the Netflix Leaderboard is “When Gravity and Dinosaurs Unite”, which is the … Continue reading Insights from the Netflix contest