6 citations · 11 across the 5 of their papers we have counts for
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cs.IR2024★ 5 cited
Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs
Fabian Haak, Björn Engelmann, Christin Katharina Kreutz +1
Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to ex…
cs.IR2024
Context-Driven Interactive Query Simulations Based on Generative Large Language Models
Björn Engelmann, Timo Breuer, Jana Isabelle Friese +2
Simulating user interactions enables a more user-oriented evaluation of information retrieval (IR) systems. While user simulations are cost-efficient and reproducible, many approac…