algo-ecom-search
E-Commerce Search Relevance
Overview
E-commerce search is a pipeline: query understanding → retrieval → ranking → presentation. Each stage affects relevance. Optimization requires diagnosing WHICH stage fails, not just tuning one component. Zero-result rate, click-through rate, and add-to-cart rate are key metrics.
When to Use
Trigger conditions:
- Diagnosing why search results don't meet user expectations
- Implementing query processing features (spell check, synonyms, intent detection)
- Reducing zero-result searches and improving conversion
When NOT to use:
- For ranking algorithm design only (use e-commerce ranking skill)
- For text relevance scoring only (use BM25)
Algorithm
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