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cs.IR2026
Beyond States: Investigating the Effects of Context on User Modeling with Feature-Conditioned Markov Models
Jana Isabelle Friese, Andreas Konstantin Kruff, Timo Breuer +2
User behavior simulation is widely used to evaluate interactive information retrieval systems, but classical state-based approaches (e.g., Markov models) have limited ability to in…
cs.IR2026
SQLite is Enough. Lexical, Semantic, and Hybrid Search with scrydb
Timo Breuer
This work introduces scrydb, a Python library that enables lexical, semantic, and hybrid search within SQLite. For lexical search, scrydb leverages SQLite's full-text search extens…
cs.IR2026
Formalized Information Needs Improve Large-Language-Model Relevance Judgments
Jüri Keller, Maik Fröbe, Björn Engelmann +4
Cranfield-style retrieval evaluations with too few or too many relevant documents or with low inter-assessor agreement on relevance can reduce the reliability of observations. In e…