Grab Uses Live Search Signals to Auto‑Validate Knowledge‑Graph Taxonomies
Grab’s new engine treats each knowledge‑graph edge as a hypothesis, injects unverified parent‑child or sibling links into live search results, and uses real user clicks to confirm or reject them. By closing the loop between taxonomy and actual behavior, the system scales verification across millions of rapidly changing entities, slashing manual effort and improving search relevance.