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International Conference on Web and Internet Economics

WINE 2014: Web and Internet Economics pp 203–217Cite as

PTAS for Minimax Approval Voting

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8877)

Abstract

We consider Approval Voting systems where each voter decides on a subset of candidates he/she approves. We focus on the optimization problem of finding the committee of fixed size k, minimizing the maximal Hamming distance from a vote. In this paper we give a PTAS for this problem and hence resolve the open question raised by Carragianis et al. [AAAI’10]. The result is obtained by adapting the techniques developed by Li et al. [JACM’02] originally used for the less constrained Closest String problem. The technique relies on extracting information and structural properties of constant size subsets of votes.

Keywords

  • Approval Vote
  • Election Rule
  • Star Position
  • Stable Subset
  • Minimax Procedure

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-13129-0_15
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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Wrocław, Joliot-Curie 15, 50-383, Wrocław, Poland

    Jarosław Byrka & Krzysztof Sornat

Authors
  1. Jarosław Byrka
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  2. Krzysztof Sornat
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Editor information

Editors and Affiliations

  1. Microsoft Research, Haidian District, 100080, Beijing, China

    Tie-Yan Liu

  2. The Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Qi Qi

  3. Deptartment of Management Science and Engineering, Stanford University, 94305-4121, Stanford, CA, USA

    Yinyu Ye

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© 2014 Springer International Publishing Switzerland

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Byrka, J., Sornat, K. (2014). PTAS for Minimax Approval Voting. In: Liu, TY., Qi, Q., Ye, Y. (eds) Web and Internet Economics. WINE 2014. Lecture Notes in Computer Science, vol 8877. Springer, Cham. https://doi.org/10.1007/978-3-319-13129-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-13129-0_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13128-3

  • Online ISBN: 978-3-319-13129-0

  • eBook Packages: Computer ScienceComputer Science (R0)