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What is: DCN-V2?

SourceDCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

DCN-V2 is an architecture for learning-to-rank that improves upon the original DCN model. It first learns explicit feature interactions of the inputs (typically the embedding layer) through cross layers, and then combines with a deep network to learn complementary implicit interactions. The core of DCN-V2 is the cross layers, which inherit the simple structure of the cross network from DCN, however it is significantly more expressive at learning explicit and bounded-degree cross features.