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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CITATION STYLE
Faliszewski, P., Skowron, P., Slinko, A., & Talmon, N. (2017). Multiwinner rules on paths from k-Borda to Chamberlin-Courant. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 0, pp. 192–198). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/28
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