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MaurizioFD / RecSys2019_DeepLearning_Evaluation

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This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet
  • Updated Nov 13, 2020
  • Python

sh0416 / bpr

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Detailed implementation for splitting train and test data

sh0416
sh0416 commented Dec 26, 2019

In ML dataset, All data are visited at most one time.

However, in the other dataset, a item might be referenced multiple times by one user.

In this case, how to handle when Item i is both inside the training set and the test set?

Do I need to remove the item i from the test set?

If I remove the item i, then evaluation metric represents the predictive power of the model which has not se

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enhancement good first issue

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