Ticer - Search And Facets

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This document summarizes the history and development of the Summa/Search system used at the State and University Library in Denmark. It began as an effort to improve search speeds, flexibility, and the user experience. Key features included integrated search across resources, exploratory search capabilities, and faceted navigation. Over time, facets were improved with proper counts and only the most useful facets displayed. Recent usability testing showed successes like the Google-like search but also opportunities to improve finding articles, discovering facets, and relevancy ranking. Future work may include more full text data, automatic tagging, rights integration and other improvements to continue developing the system around the needs and expectations of users.

Technology Education

Summa/Search and Facets

Digital Libraries à la Carte 2009
Tilburg University, 2009-07-31

Mads Villadsen <mv@statsbiblioteket.dk>

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 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

“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

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

Simple Changes

 Rename “order list” to “basket”
 Make it possible to add any item to the Todo list
 Move facets to the left side
 ...

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.

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 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

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