2017
IJCAI
IJCAI 2017
Multiwinner Rules on Paths From k-Borda to Chamberlin–Courant
Abstract
The classical multiwinner rules are designed for particular purposes. For example, variants of k-Borda are used to find k best competitors in judging contests while the Chamberlin-Courant rule is used to select a diverse set of k products. These rules represent two extremes of the multiwinner world. At times, however, one might need to find an appropriate trade-off between these two extremes. We explore continuous transitions from k-Borda to Chamberlin-Courant and study intermediate rules.
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Interdisciplinary Bridge
— Computer Science and Mathematics & Optimization
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Keyword Pioneer
— multiwinner rule
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Data Science & Analytics, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Reinforcement Learning, Security & Privacy