ticer - search and facets
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Summa/Search and Facets
Digital Libraries à la Carte 2009Tilburg University, 2009-07-31
Mads Villadsen <[email protected]>
A Short History of Summa/Search
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
How
Integrated search Speed and meaningful ranking of material from
different sourcesExploratory 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
“Facets” – Limit Your Search
Limit your search to certain material types
Facets – No Counts
Proper facets. The facet counts came later.
Facets Today
Proper facet counts. Only the most useful facets are shown.
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
How Did It All Work Out?
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
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
What Now?
Simple Changes
Rename “order list” to “basket” Make it possible to add any item to the Todo list Move facets to the left side ...
Search Tomorrow
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.
Rethink Facet Presentation
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.
Other
Rights integration Duplicate reduction User specific ranking Further develop system and statistics tools Index look-ups And more...
Resources
The hybrid library: from the users perspectivehttp://www.statsbiblioteket.dk/om-statsbiblioteket/brugbarhed/feltstudier
Summa Sitehttp://statsbiblioteket.dk/summa/
Search Usability Testhttp://www.statsbiblioteket.dk/summa/search%20-%20usability-test-English.pdf
Code4lib 2009 presentation on Complete Facetinghttp://www.code4lib.org/conference/2009/eskildsen
Questions?