Christiane Behnert, M.A.

was a research assistant at the Department of Information at the Hamburg University of Applied Sciences from March 2014 until July 2019. Her primary areas of research were relevance and relevance behaviour, information searching behaviour and interactive information retrieval. At the moment she is a Doctoral Candidate at the Univesity of Hildesheim in cooperation with the Hamburg University of Applied Sciences working on her doctoral project “Relevance Clues” which aims to determine the criteria by which users of academic search systems assess a result’s relevance.

From June 2014 to July 2019, she was a member of the research committee of the faculty DMI.

Christiane received her MA degree in Information Science in 2013 and her Diploma in Library Studies in 2009 from the University of Applied Sciences in Potsdam, Germany. During her Master studies, she worked as a student assistant at the Berlin Social Science Center Library, where she found research data management to be the subject of her Master Thesis.

Before that, she worked as a librarian at the University Library Greifswald and helped to develop the Digital Library of Mecklenburg-Western Pomerania.

Certified Librarian (University of Applied Sciences Potsdam, 2009),
M.A. Information Sciences (University of Applied Sciences Potsdam, 2013)

University Library Greifswald (2009 – 2012, Employee in the area of Digitalization),
Hamburg University of Applied Sciences (2014 – 2019, research assistant)

Functions + Committees: Member of the research committee of the faculty DMI (2014 – 2019)

Christiane Behnert on ResearchGate

Hamburg University of Applied Sciences
Faculty of Design, Media & Information
Department of Information
Finkenau 35
22081 Hamburg


Journal articles

Schultheiß, S., Linhart, A., Behnert, C., Rulik, I., & Lewandowski, D. (2020). Known-item searches and search tactics in library search systems: Results from four transaction log analysis studies. The Journal of Academic Librarianship, 46(5), 102202.

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. (2019). Kriterien und Einflussfaktoren bei der Relevanzbewertung von Surrogaten in akademischen Informationssystemen. In: Information – Wissenschaft & Praxis 70 (1), 24-32.

Behnert, C., & Lewandowski, D. (2017). A framework for designing retrieval effectiveness studies of library information systems using human relevance assessments. Journal of Documentation, 73(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.

Conference articles

Behnert, C. (2019). Investigating the Effects of Popularity Data on Predictive Relevance Judgments in Academic Search Systems. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval – CHIIR ’19 (S. 437–440). New York, New York, USA: ACM Press.

Behnert, C. (2017). Relevance Clues – Developing an Experimental Design to Examine the Criteria Behind Relevance Judgments. In M. Gäde, V. Trkulja, & V. Petras (Hrsg.), Everything Changes, Everything Stays the Same? Understanding Information Spaces. Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin, 13th—15th March 2017. Glückstadt: Verlag Werner Hülsbusch.

Plassmeier, K., Borst, T., Behnert, C., & Lewandowski, D. (2015). Evaluating popularity data for relevance ranking in library information systems. Proceedings of the Association for Information Science and Technology, 52(1), 1–4.

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, Kim; Behnert, Christiane; Borst, Timo; Lewandowski, Dirk: Evaluating Popularity Data for Relevance Ranking in Library Information Systems. Poster Sessions at the 78th ASIS&T Annual Meeting, 6.-10. Nov. 2015, St. Louis. (PDF of the ASIS&T Poster)


10. März 2019, Glasgow: Investigating the effects of popularity data on predictive relevance judgements in academic search systems. CHIIR’19, Doctoral Consortium.

17. Oktober 2018, Hildesheim: Untersuchung des Einflusses von Popularitätsdaten auf die Relevanzbewertung in akademischen Informationssystemen. PhD Student Workshop IWiSt – DIPF.

18. Mai 2018, Hamburg: Positions- (und weitere) Effekte bei Relevanzbewertungen. HAW Hamburg.

12. Januar 2018, Hamburg: Entwicklung eines Nutzermodells zur Relevanzbewertung von Surrogaten im akademischen Kontext. HAW Hamburg

10. und 11. Oktober 2017, Hildesheim: Relevance Clues. Developing an experimental research design to investigate a surrogate’s relevance clues. PhD Student Workshop IWiSt – DIPF.

28. April 2017, Hamburg: Relevanzkriterien. Forschungsstand und erste Ideen für das Nutzermodell im Rahmen des Promotionsprojektes Relevance Clues. HAW Hamburg.

14. März 2017, Berlin: Relevance Clues. Developing an experimental design to examine the criteria behind relevance judgements. ISI 2017 – 15th International Symposium on Information Science, Humboldt-Universität zu Berlin.

1. März 2016, Hamburg: Evaluierungsläufe. Abschluss-Workshop des DFG-Projekts LibRank, HAW Hamburg.

1. März 2016, Hamburg: Rankingfaktoren für Bibliothekssysteme. Abschluss-Workshop des DFG-Projekts LibRank, HAW Hamburg.