提出节能版交叉验证，大幅降耗仍保结果可靠
e-Fold Cross-Validation for Recommender-System Evaluation
- 用e-fold交叉验证替代传统k折，减少计算次数
- 平均能耗仅为10折验证的41.5%，误差仅增加1.81%
- 适合关注能效的推荐系统研究与工业部署
为应对推荐系统日益增长的能耗问题，我们提出一种新型k折交叉验证替代方法——e-fold交叉验证。该方法旨在通过减少折叠次数来降低能耗，同时保持测试结果的可靠性与稳健性。我们在5种推荐算法和6个数据集上测试该方法，并与10折交叉验证进行对比。结果显示，e-fold交叉验证平均仅需10折验证41.5%的能源，而结果差异仅为1.81%。结论表明，e-fold交叉验证是一种有潜力的节能且可靠的替代方案。
原文摘要 · Abstract (English)
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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