Crowdsourced taxonomy verification: A feedback-driven framework for refining knowledge graph relationships via online search interactions

This post details the evolution of Grab's knowledge graph verification system by introducing a feedback-driven engine that operationalizes the search interface. It describes the architecture comprising a KG core with verified and candidate edges, a search and injection module for exploration vs. exploitation, a behavior tracking module for granular user interaction logging, and a verification and refinement engine for updating the KG topology. The case study on food delivery taxonomy highlights the promotion and pruning of candidate edges based on user signals.