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The user can download the source code and start experimenting with item-based KNN and sparse coding based recommender systems. The user can add their own recommender system by extending the AbstractExperiment class. Evaluation is handled by the software for the user.
Evaluation metrics: MAE & RMSE, CPP, Recall, Precision, Personalisation. The user can add other metrics in AbstractExperiment.m.