Chapter 10. The relevance-centered enterprise


This chapter covers

  • Improving how your organization works on relevance problems
  • Interpreting user behavioral data to evaluate search relevance
  • Making the broader culture aware of search relevance and its value
  • Incorporating domain experts, marketing, and other colleagues
  • Adding content curators and information scientists to the search team
  • Measuring correctness with test-driven relevancy

Our conversation up to this point has been about how to implement the technical requirements of search relevance. We’ve yet to discuss the fundamental why behind implementing these requirements. If you’re a software developer, you know it’s easy to toil for months on end on a feature or product. Only finally when you release it do you discover that the market has little interest in your work. Your careful craftsmanship is squandered as users’ feedback renders a harsh verdict on what you’ve delivered.

10.1. Feedback: the bedrock of the relevance-centered enterprise

10.2. Why user-focused culture before data-driven culture?

10.3. Flying relevance-blind

10.4. Relevance feedback awakenings: domain experts and expert users

10.5. Relevance feedback maturing: content curation

10.6. Relevance streamlined: engineer/curator pairing

10.7. Relevance accelerated: test-driven relevance

10.8. Beyond test-driven relevance: learning to rank

10.9. Summary