~/talk

Streamlining Search Quality: Search Relevance Workbench

Talkat Berlin Buzzwords 2025 · 2025-06-15..06-17· [developer-experience]
links:none on file
name:Eric Pugh
links:none on file
slides:none on file

Search Relevance Workbench (SRW) is an open source, engine-agnostic suite that collects click streams using the User Behavior Insights standard, ingests labeled judgments or LLM/implicit clicks, and runs online/offline evaluations with metrics like Jaccard, RBO and NDCG 0.35 on a 150-query sample. Demo shows a simple title boost that helps three handpicked queries (NDCG ≈ 0.78) but only slightly improves the full sample, visual comparison of result churn, APIs for automation, and dashboards shipping in OpenSearch 3.2.

AI-written summary · about

  1. 0:00Introduction and relevance
  2. 1:45Measurement and tooling
  3. 4:12Philosophy of the workbench
  4. 5:54Core workbench concepts
  5. 8:35Demo for the freshman user
  6. 15:23Query set comparison
  7. 22:04Systematic search evaluation
  8. 29:34Advanced analytics for users
  9. 35:18Future work and conclusions
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