The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.
A versatile framework for evaluating ranked lists in terms of group fairness and relevance.ACM Trans
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.IR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The authors propose an evaluation framework for LLM-generated structured search summaries and describe plans for implementing and testing it.
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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.
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Plans for Evaluating Structured Generative Search Summaries
The authors propose an evaluation framework for LLM-generated structured search summaries and describe plans for implementing and testing it.