<ul><li>A Deep Hierarchical Ensemble Network (DHEN) has been proposed to integrate multiple feature crossing modules and has achieved great success in CTR prediction.</li><li>The performance of DHEN in CVR prediction is unclear in the conversion ads setting.</li><li>The paper proposes a multitask learning framework with DHEN as the single backbone model architecture to predict all CVR tasks.</li><li>The method achieves state-of-the-art performance compared to previous single feature crossing modules with pre-trained user personalization features.</li></ul>

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction

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