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20242026
most citedDynamics in Search Engine Query Suggestions for European Politicians

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR20263 cited

Dynamics in Search Engine Query Suggestions for European Politicians

Franziska Pradel, Fabian Haak, Sven-Oliver Proksch +1

Search engines are commonly used for online political information seeking. Yet, it remains unclear how search query suggestions for political searches that reflect the latent inter…

cs.IR2025

Pairwise Comparison for Bias Identification and Quantification

Fabian Haak, Philipp Schaer

Linguistic bias in online news and social media is widespread but difficult to measure. Yet, its identification and quantification remain difficult due to subjectivity, context dep…

cs.IR2025

Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction

Andreas Konstantin Kruff, Christin Katharina Kreutz, Timo Breuer +2

Validating user simulation is a difficult task due to the lack of established measures and benchmarks, which makes it challenging to assess whether a simulator accurately reflects…

cs.IR2025

REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources

Björn Engelmann, Fabian Haak, Philipp Schaer +3

Retrieval test collections are essential for evaluating information retrieval systems, yet they often lack generalizability across tasks. To overcome this limitation, we introduce…

cs.IR20241 cited

Building an Explainable Graph-based Biomedical Paper Recommendation System (Technical Report)

Hermann Kroll, Christin K. Kreutz, Bill Matthias Thang +2

Digital libraries provide different access paths, allowing users to explore their collections. For instance, paper recommendation suggests literature similar to some selected paper…