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Ranking Track

This track teaches group-aware ranking model construction and production-grade ranking API patterns.

  1. projects/learning-to-rank-foundations-showcase
  2. projects/ranking-api-productization-showcase
  3. projects/model-release-rollout-showcase (optional extension)

Core Skills Covered

  • Query/group-aware splitting and training.
  • Relevance labeling and lambda-based ranking objectives.
  • Ranking metrics (NDCG@k).
  • Ranking service endpoint contracts and schema checks.

Evidence Artifacts To Inspect

  • artifacts/eval/ranking_metrics.json
  • artifacts/splits/group_split_manifest.json
  • artifacts/eval/test_rankings_top10.csv
  • openapi.json in ranking API showcase

Suggested Reflection Prompts

  • Why is grouped splitting mandatory for ranking tasks?
  • How would you detect ranking quality regressions before release?
  • What API schema fields are essential for safe ranking requests?