Relevance ranking of results from MARC-based catalogues: from guidelines to implementation exploiting structured metadata Tony Boston and Alison Dellit.

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Presentation transcript:

Relevance ranking of results from MARC-based catalogues: from guidelines to implementation exploiting structured metadata Tony Boston and Alison Dellit National Library of Australia ©Leonard French

Outline Background and context Problems with existing library catalogues Some solutions in Libraries Australia –Current implementation –Future implementation Conclusion ©Leonard French

Libraries Australia Australia’s National Union Catalogue –built over the last 25 years Provides information on 42 million items held by about 800 Australian libraries ©Leonard French

Under-used catalogues? “1% of Americans (2% of college students) start an electronic information search at a library web site” Perceptions of libraries and information resources (OCLC, 2005). Appendix A “Today, a large and growing number of students and scholars routinely bypass library catalogs in favor of other discovery tools” “The catalog is in decline, its processes and structures are unsustainable, and change needs to be swift” The changing nature of the catalog and its integration with other discovery tools (Karen Calhoun for the Library of Congress, 2006) ©Leonard French

The long tail “Unlimited selection is revealing truths about what consumers want.... People are going deep into the catalog … and the more they find, the more they like. As they wander further from the beaten path, they discover their taste is not as mainstream as they thought” - Chris Anderson. The long tail. Wired magazine, October 2004 ©Leonard French

Libraries and the long tail 80% of people want just 20% of any collection 80% of the collection requested rarely –The long tail of sporadic usage –Represents a new business model –Fewer, larger resources => Union Catalogues –Project library services into Web 2.0 world “Fewer but larger pools of metadata to support discovery would help” Lorcan Dempsey, D-Lib, April 2006 ©Leonard French

Attracting new users Markey, D-Lib, 2007: “…requires a paradigm shift in library cataloging and in the design and development of online library catalogs that heed catalog users’ longtime demands for improvements to the searching experience” Catalogues need to improve on boolean fielded searching (available since 1980s) Catalogues need to support probabilistic searching with automatic spelling correction, term weighting, intelligent stemming, relevance feedback and output ranking ©Leonard French

New ways of searching Libraries Australia search box Links from Internet search engines Support for OpenSearch ©Leonard French

A user-friendly catalogue Hildreth, 1997: “users of the online catalogue search more often by keyword than any other type of search, and their keyword searches fail more often than not” Markey, D-Lib, 2007: “The World-Wide Web has become the people's encyclopedia of choice … searching for information generally, conforms to the principle of least effort, …If an organization desires to have a high quality of information used, it must make ease of use of primary importance”. ©Leonard French

The solution?

Ranking of bibliographic records ©Leonard French No, we can’t just use Google’s algorithm We have good content to leverage: the catalogue record –Exact matches are more important than phrases –Matches in the main MARC fields (e.g. 245, 100) are more important than in the 700s or 800s –Matches in several fields are more important than single –Title, author and subject matches most important. We could also try using: –Is it a collection level record? –What sort of item is it? –How many libraries hold the item?

Library Labs prototype ©Leonard French

From prototype to production NLA plans to apply features such as relevance ranking, clustering, annotation etc to all its resource discovery services New software platform Roll out from 2008 => More integrated discovery services with shared functionality ©Leonard French

The future - Libraries Australia & the Long Tail “Aggregation of demand is about mobilizing a community of users so that the chances of rendezvous between a resource and an interested user are increased. Or, in other words, 'every book its reader'.” –Lorcan Dempsey 2006 The future: aggregation of supply? ©Leonard French

Conclusion We have huge opportunities: –42 million items across the full range of human knowledge: some highly entertaining, some of rare value and great worth. Meeting the challenge: to make our search systems better, easier and more enjoyable to use. ©Leonard French

Thank you Tony Boston Questions? Alison Dellit ©Leonard French