This is a repo that holds the code for the assignements of the Advances in Data Mining Course offered by the Leiden University.
Build and evaluate the following recommender algorithms, using the MovieLens 1M dataset.
- Naive Global
- Naive User
- Naive Item
- Naive Regression
- Matrix Factorization
For the evaluation we use
- RMSE (Root Mean Square Error)
- MAE (Mean Absolute Error)
algorithms.