![]() ![]() group.py: The test set is ordered according to the user_id.main.py: The main file from which the other scripts are called.The following scripts, stored in this repository, have been developed for implementing Factorization Machines for music recommendation using the dataset. Sequence: This folder contains the scripts train_seq.r and test_seq.r to create the traning and test set splits respectively for context-aware next-song recommendation.Context_POP_USER: This folder contains the scripts train_POP_USER.r and test_POP_USER.r to create the traning and test set splits respectively for context-aware recommendation in the POP_USER setting. ![]()
0 Comments
Leave a Reply. |