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1.5 Re-ranking Pipeline #5

@philberryman

Description

@philberryman

Goal

Build a complete re-ranking system that combines multiple signals.

Learn

  • Two-stage retrieval (recall → precision)
  • Feature engineering for ranking
  • Linear combination vs learning-to-rank
  • A/B testing ranking changes

Deliverable

  • Re-ranker that combines BM25 + embeddings + business signals
  • Configurable weights
  • Evaluation showing improvement over single-stage

Proof Point

THIS IS THE PORTFOLIO PROJECT - you now understand every piece.

Links

→ Feeds into: FasterShops/framework Search Re-ranking Layer

Directory

search-fundamentals/05-reranking-pipeline/

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