📇
Catalogue API
  • Catalogue API
  • developers
  • How users request items
  • Search
    • Current queries
      • images
      • Query structure
    • Search
      • Changelog
      • Collecting data
      • Query design
      • Query design
      • wellcomecollection.org query development index
      • Reporting and metrics
      • Work IDs crib sheet
      • Analysis
        • Less than 3-word searches
        • Subsequent searches
        • Searches with 3 words or more
      • Hypotheses
        • Behaviours
        • Concepts, subject, and another field
        • Concepts, subjects with other field
        • Concepts, subjects
        • Contributor with other field
        • Contributors
        • Further research and design considerations
        • Genre with other field
        • Genres
        • Mood
        • Phrases
        • Reference number with other field
        • Reference numbers
        • Search scenarios
        • Synonymous names and subjects
        • Title with other field
        • Titles
      • Relevance tests
        • Test 1 - Explicit feedback
        • Test 2 - Implicit feedback
        • Test 3 - Adding notes
        • Test 4 - AND or OR
        • Test 5 - Scoring Tiers
        • Test 6 - English tokeniser and Contributors
        • Test 7 - BoolBoosted vs ConstScore
        • Test 8 - BoolBoosted vs PhaserBeam
    • Rank
      • Rank cluster
      • Developing with rank
      • Testing
Powered by GitBook
On this page
  1. Search

Rank

PreviousTest 8 - BoolBoosted vs PhaserBeamNextRank cluster

Last updated 9 months ago

Documentation for rank, our search relevance ranking system. The code for rank lives .

These docs explore:

here
how to develop new queries and mappings
how to test new candidates
how the rank Elasticsearch cluster is configured