Search and merchandising for e-commerce: product search relevance tuning, faceted navigation,
recommendation engine patterns (collaborative filtering, content-based), A/B testing for
layouts, personalization, and SEO for product pages.
インストール
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Search and merchandising for e-commerce: product search relevance tuning, faceted navigation,
recommendation engine patterns (collaborative filtering, content-based), A/B testing for
layouts, personalization, and SEO for product pages.
allowed-tools
Read, Grep, Glob, Bash
Search and Merchandising
When to use
Selecting or tuning a product search engine (Elasticsearch, Algolia, Typesense, Meilisearch)
Implementing or improving search relevance (field boosting, synonyms, function scoring)
Building faceted navigation with dynamic facet counts and URL-preserving filters
Implementing a recommendation engine (collaborative filtering, content-based, or hybrid)
Running A/B tests on search ranking, listing layouts, or recommendation placements
Adding personalization to search results, homepage, or email recommendations
Implementing technical SEO for product pages (schema.org, canonical URLs, hreflang, sitemaps)
Core principles
Boost by behavior, not just text match — sales count and view count as function score signals outperform pure BM25 for commerce
Facet counts must stay accurate under multi-select — post-filter aggregations; users abandon nav when counts are wrong
Cold start kills collaborative filtering — always have a content-based fallback for new users and new products
Canonical every filter combination — faceted nav generates thousands of URL permutations; without canonicals, you split ranking signals
Hash user ID for A/B assignment — session-based assignment causes variant flicker on login; user ID gives consistent experience
Reference Files
references/search-facets-recommendations.md — search engine selection, relevance tuning, autocomplete, facet types and implementation, collaborative/content-based/hybrid recommendation patterns and placement strategy
references/abtesting-personalization-seo.md — what to A/B test in search and merchandising, feature flag implementation, personalization pipeline, schema.org markup, technical SEO for product pages