DCN

The Deep & Cross Network (DCN) is a neural architecture developed by Google researchers for efficient feature interaction learning, notably enhancing recommendation and click-through rate prediction systems.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.