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arXiv · 2412.01011

e-Fold Cross-Validation for Recommender-System Evaluation

Moritz Baumgart·Lukas Wegmeth·Tobias Vente·Joeran Beel
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Abstract

To combat the rising energy consumption of recommender systems we implement a novel alternative for k-fold cross validation. This alternative, named e-fold cross validation, aims to minimize the number of folds to achieve a reduction in power usage while keeping the reliability and robustness of the test results high. We tested our method on 5 recommender system algorithms across 6 datasets and compared it with 10-fold cross validation. On average e-fold cross validation only needed 41.5% of the energy that 10-fold cross validation would need, while it's results only differed by 1.81%. We conclude that e-fold cross validation is a promising approach that has the potential to be an energy efficient but still reliable alternative to k-fold cross validation.

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Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel. 2024-12-02. e-Fold Cross-Validation for Recommender-System Evaluation. https://arxiv.org/abs/2412.01011

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