ticer - search and facets

Summa/Search and Facets

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

Mads Villadsen <mv@statsbiblioteket.dk>

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?