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Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
Ticer - Search And Facets
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Ticer - Search And Facets

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  • 1. Summa/Search and Facets Digital Libraries à la Carte 2009 Tilburg University, 2009-07-31 Mads Villadsen <mv@statsbiblioteket.dk>
  • 2. A Short History of Summa/Search
  • 3. Why?  Improve response times  Greater flexibility to create a system that had end user concerns as a priority  Expose all our resources through a single point of entry  Combine IT knowledge with knowledge of library science
  • 4. How Integrated search  Speed and meaningful ranking of material from different sources Exploratory search  Help users find what they are looking for – even if they don't quite know it themselves Motivational design  Show users the information they need when they need it
  • 5. “Facets” – Limit Your Search Limit your search to certain material types
  • 6. Facets – No Counts Proper facets. The facet counts came later.
  • 7. Facets Today Proper facet counts. Only the most useful facets are shown.
  • 8. Facet Information Current system at the State and University Library  9.1 million records  8.7 million unique tags in 15 facets  Average number of tags/document is 10  Large facets  Subject: 3.5 million unique tags  Author: 4.8 million unique tags
  • 9. How Did It All Work Out?
  • 10. Recent Usability Test: The Good  The Google-like initiatives  One simple search field  Search suggestions  Did-You-Mean  The integration of extra information in the full records – especially covers and abstracts  The Todo list
  • 11. Recent Usability Test: What To Improve  Users had trouble finding journal articles  Many users failed to discover the facets  Further tweaking of the relevancy ranking  Simplification of the request procedure
  • 12. What Now?
  • 13. Simple Changes  Rename “order list” to “basket”  Make it possible to add any item to the Todo list  Move facets to the left side  ...
  • 14. Search Tomorrow
  • 15. More Data User expectations: If they can't find it in Search, then we don't have it. Particularly a problem with article level data. Will make the experience as a whole better for the end user.
  • 16. Rethink Facet Presentation
  • 17. Clustering Add clustering framework to facilitate automatic tag extraction. May link together articles, books, and data-sets that the user hadn't thought of. Should prove very useful with full text data.
  • 18. Other  Rights integration  Duplicate reduction  User specific ranking  Further develop system and statistics tools  Index look-ups  And more...
  • 19. Resources  The hybrid library: from the users perspective http://www.statsbiblioteket.dk/om-statsbiblioteket/brugbarhed/feltstudier  Summa Site http://statsbiblioteket.dk/summa/  Search Usability Test http://www.statsbiblioteket.dk/summa/search%20-%20usability-test-English.pdf  Code4lib 2009 presentation on Complete Faceting http://www.code4lib.org/conference/2009/eskildsen
  • 20. Questions?

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