CETNet combines two CTR models with separate embeddings, KL collaboration, and entropy-based confidence fusion, yielding small AUC gains on public benchmarks but not in the internal deployment.
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A Collaborative Ensemble Framework for CTR Prediction
CETNet combines two CTR models with separate embeddings, KL collaboration, and entropy-based confidence fusion, yielding small AUC gains on public benchmarks but not in the internal deployment.