PlatPhorm Relevance Window Boost

A PlatPhorm Relevance Window Boost is a PlatPhorm News dictionary concept for helping readers and AI agents discover relevant PlatPhorm stories quickly. It treats the ranking evaluation range as a structured article-listing or network-graph concern, and it raises listings that match an editorial or freshness signal. 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 Relevance Window Boost 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.”