AAAI Publications, Thirty-First AAAI Conference on Artificial Intelligence

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Winner Determination in Huge Elections with MapReduce
Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger

Last modified: 2017-02-10


In computational social choice, we are concerned with the development of methods for joint decision making. A central problem in this field is the winner determination problem, which aims at identifying the most preferred alternative(s). With the rise of modern e-business platforms, processing of huge amounts of preference data has become an issue. In this work, we apply the MapReduce framework - which has been specifically designed for dealing with big data - to various versions of the winner determination problem. We obtain efficient and highly parallel algorithms and provide a theoretical analysis and experimental evaluation.


Winner Determination; Social Choice; Computational Social Choice; MapReduce; Parallel Computation; Voting; Cloud Computing

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