Revisiting the Netflix Prize the Decade After Category General Machine Learning
The Netflix Prize rewarded the top team with an incremental 10% improvement on their existing Cinematch algorithm with a million dollars. It turns out that improving the RMSE of predictions is difficult. Furthermore, the winning solution was cumbersome and infeasible for commercial use. We will study the Netflix problem in a simplified setting under discretization, and combine prior information calculated on the dataset to make predictions on each individual movie. This method achieves nearly the performance of KNN at 75% accuracy in the discretized setting but can be up to 420x faster.