Price systems explain approval-based multiwinner voting by modeling voter influence via budgets spent on approved candidates, supported by axioms and a polynomial-time continuous-influence rule that satisfies jointly satisfiable properties.
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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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Explanation Systems for Approval-Based Multiwinner Voting
Price systems explain approval-based multiwinner voting by modeling voter influence via budgets spent on approved candidates, supported by axioms and a polynomial-time continuous-influence rule that satisfies jointly satisfiable properties.
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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.