Building Netflix Prize Prediction Model
Netflix Prize competition was hold by Netflix Inc. in Oct 2006. The main goal of this competition was to predict how many score a user will rate for a movie, by learning a test set containing nearly 100 million customer rating records.
Given the 100 million customer rating records, focused on the following tasks:
- Predicted the existed records by data analysis techniques (
KNN, etc.), and computed the
RMSE(Root mean squared error) of different model, and then compare them.
- Forecasted whether one customer will be in favor of one released movie.
- Given essential information (directors, genres, casts, etc) of a movie, predicted which group of customers will love it, and which group of customers will dislike it.