Forward:  Understanding Users’ Searching Habits to Improve Discovery
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Forward: Understanding Users’ Searching Habits to Improve Discovery

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The Shared Development Group investigated how users searched the Forward catalog, and David Lee explains how, what tools were used, the trends identified, and areas the SDG would like to improve based ...

The Shared Development Group investigated how users searched the Forward catalog, and David Lee explains how, what tools were used, the trends identified, and areas the SDG would like to improve based on what they learned.

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Forward: Understanding Users’ Searching Habits to Improve Discovery Presentation Transcript

  • 1. Forward UW Madison catalog usage, tools, and plans.
  • 2. How our catalog is used Tools we use Improvements
  • 3. Catalog Usage
  • 4. Pages 7% Bots 69% Assets 10% Status 14% Page Views
  • 5. 64% of traffic is from out of state
  • 6. 66% of the items are discovered outside of the catalog
  • 7. Finding an item locally Anywhere Advanced Title Author Subject For the remaining 34%
  • 8. Anywhere Search ID 10% Author 67% Known Item 4% Title 12% Topic 8%
  • 9. Advanced Search • Most traffic is from “canned” searches • The advanced form makes up only 0.6% of traffic
  • 10. Subject Explore • Clicked about 4% of the time
  • 11. Subject Browse • Topics and Places, about 3% of overall traffic
  • 12. Author Browse • 0.3% of traffic
  • 13. Language Browse • 0.3% of traffic
  • 14. Spelling • Used 15% of the time • Yahoo @ $15 / month versus Bing @ $500 / month
  • 15. Trends • Increase in keyword anywhere searching • Increase in outside traffic • Increase in bot traffic • Decrease in search referral traffic
  • 16. Tools
  • 17. Google Analytics
  • 18. Inspectlet - heatmaps
  • 19. Inspectlet - sessions
  • 20. New Relic
  • 21. New Relic
  • 22. Collectd
  • 23. Log parsing
  • 24. Search Classification
  • 25. Improvements
  • 26. Improve Google Indexing • Generate a sitemap to allow better indexing • Utilize Google’s webmaster tools site • Leverage microdata
  • 27. Search detection • Classification of BibID searches • Classify known item searches • Tailor responses based on search classification
  • 28. Backend • Page load and query times are seven times faster • Further improve outlier performance • Better metrics for external calls
  • 29. Core Features • Primo Central • Alma • Improved account management • Provide API