The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.
Rankers, judges, and assis- tants: Towards understanding the interplay of llms in information retrieval evaluation
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Offline Evaluation Measures of Fairness in Recommender Systems
The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.
- Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents