What is it about?
For an information retrieval system to be successful, it must have the ability to rank search results. As web search engines are the most often used and — in terms of ranking functionality — the most advanced existing systems, the principles they are based on and the strategies they use can be advantageous when applied to the library context. We categorize ranking factors into six different groups: 1. text statistics, 2. popularity, 3. freshness, 4. locality and availability, 5. content properties and 6. user background. We discuss the basic concepts and assumptions these ranking factors involve and offer potential implementations in the library context. The practice recommended here is for libraries to not only apply selected ranking factors — as existing library information systems already do — but to systematically test for the ranking factors best suited to their systems. We argue for a user-centric view on ranking, because in the end, ranking should be for the benefit of the user, and user preferences may vary across different contexts.
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This page is a summary of: Ranking Search Results in Library Information Systems — Considering Ranking Approaches Adapted From Web Search Engines, The Journal of Academic Librarianship, November 2015, Elsevier,
DOI: 10.1016/j.acalib.2015.07.010.
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Resources
LibRank.info
LibRank ist die Entwicklung von intelligenten Rankingverfahren für bibliothekarische Informationssysteme, die aufbauend auf den Erkenntnissen aus dem Bereich der Web-Suche (1) qualitätsinduzierende Faktoren wie z.B. Aktualität, Popularität und Verfügbarkeit von einzelnen Medien berücksichtigen, (2) den Nutzungskontext in die Rechercheergebnisse einbeziehen, (3) die Treffer erwartungskonform präsentieren.
LibRank (ZBW)
Das von der DFG für zwei Jahre geförderte Forschungsprojekt LibRank befasst sich mit der Analyse und Optimierung von Suchergebnissen in bibliothekarischen Informationssystemen.
LibRank (SearchStudies)
LibRank: Neue Formen der Relevanz-Sortierung in bibliothekarischen Informationssystemen.
HAW Hamburg und ZBW starten "LibRank"
Pressemitteilung zum Projekt
SearchStudies: Christiane Behnert (M.A.)
Christiane Behnert ist Wissenschaftliche Mitarbeiterin am Department Information der Hochschule für Angewandte Wissenschaften Hamburg.
SearchStudies: Prof. Dr. Dirk Lewandowski
Prof. Dr. Dirk Lewandowski is a professor of information research and information retrieval at the Hamburg University of Applied Sciences, Germany. He is the editor of Aslib Journal of Information Management (formerly: Aslib Proceedings), a ISI-ranked information science journal.
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