LibRank: Neue Formen der Relevanzsortierung in bibliothekarischen Informationssystemen

In the LibRank project, a collaborative project with the ZBW Leibniz Information Centre for Economics, we investigated how new approaches to result ranking can be applied in library search systems. Here, we primarily focused on incorporating popularity factors like the number of citations and the number of downloads. Our large-scale evaluation of the different ranking approaches found that there is no single-best way to rank results in library search systems and that popularity factors do not improve the rankings considerably from a user point of view.


Behnert, C., Plassmeier, K., Borst, T., & Lewandowski, D. (2019). Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme. In: Information – Wissenschaft & Praxis 70 (1), 14-23.

Behnert, C.; Lewandowski, D. (2017): A Framework for Designing Retrieval Effectiveness Studies of Library Information Systems Using Human Relevance Assessments. Journal of Documentation 73(2017)3, 509-527.

Behnert, C., & Lewandowski, D. (2017). Known-item Searches Resulting in Zero Hits: Considerations for Discovery Systems. The Journal of Academic Librarianship, 43(2), 128–134.

Behnert, C., & Borst, T. (2015). Neue Formen der Relevanz-Sortierung in bibliothekarischen Informationssystemen: Das DFG-Projekt LibRank. Bibliothek Forschung und Praxis, 39(3), 384–393.

Behnert, C., & Lewandowski, D. (2015). Ranking search results in library information systems — considering ranking approaches adapted from web search engines. Journal of Academic Librarianship, 41(6), 725–735.

Behnert, C. (2015). LibRank: New Approaches for Relevance Ranking in Library Information Systems. In F. Pehar, C. Schlögl, & C. Wolff (Hrsg.), Re:inventing Information Science in the Networked Society. Proceedings of the 14th International Symposium on Information Science (ISI 2015). Glückstadt: Verlag Werner Hülsbusch.

Plassmeier, K.; Behnert, C.; Borst, T.; Lewandowski, D.: Evaluating Popularity Data for Relevance Ranking in Library Information Systems. Proceedings of the 78th ASIS&T Annual Meeting, 6.-10. Nov. 2015, St. Louis.

Working papers

Behnert, C.: Relevance Ranking: State of the Art in Web Search and Library Catalogs.

Plassmeier, K; Behnert, C.: Relevance Model.

Behnert, C.: Evaluation Methods within the LibRank Project.

Behnert, C.; Plassmeier, K.: Results of Evaluation Runs and Data Analysis.

Research data and software

LibRank Task Collections.

Project team

Christiane Behnert
Timo Borst (ZBW)
Dirk Lewandowski
Kim Plassmeier (ZBW)

Funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft)
Funding period: 03/2014 - 02/2016