PlatPhorm Discovery Shelf Vector

A PlatPhorm Discovery Shelf Vector is a PlatPhorm News dictionary concept for helping readers and AI agents discover relevant PlatPhorm stories quickly. It treats the browsable recommendation surface as a structured article-listing or network-graph concern, and it supports semantic matching between query and article. In practice, it helps editors, services, and AI agents connect query language, ranking signals, and article-listing metadata into one discoverable flow.

“Use the PlatPhorm Discovery Shelf Vector when ranking a fresh civic story above an older archive item while preserving the source trail so the article listing, source metadata, and agent-facing context stay aligned.”