FeSAIL combines staleness-weighted maximum coverage sampling with a staleness-scaled embedding-update regularizer, improving incremental CTR prediction by 0.3% to 1.7% AUC over baselines on four datasets.
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Feature Staleness Aware Incremental Learning for CTR Prediction
FeSAIL combines staleness-weighted maximum coverage sampling with a staleness-scaled embedding-update regularizer, improving incremental CTR prediction by 0.3% to 1.7% AUC over baselines on four datasets.