Downsampling recommender training data can cut runtime and estimated carbon emissions by roughly 18 to 52 percent, with performance losses that vary strongly by algorithm, dataset, and downsampling design.
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Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling
Downsampling recommender training data can cut runtime and estimated carbon emissions by roughly 18 to 52 percent, with performance losses that vary strongly by algorithm, dataset, and downsampling design.