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ENTITY DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

PulseAugur coverage of DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems — every cluster mentioning DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_325278 ·

    New research questions random splits for CTR model calibration

    A new paper evaluates the effectiveness of post-hoc calibration for click-through rate (CTR) models, challenging the common practice of using random data splits for offline evaluation. The research, conducted on the Ava…