How Similarity Helps to Efficiently Compute Kemeny Rankings

Nadja Betzler, Michael Fellows, J Guo, Rolf Niedermeier, Frances Rosamond

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    Original languageEnglish
    Title of host publicationProceedings of 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009)
    Place of Publicationonline
    PublisherInternational Joint Conference on Autonomous Agents and Multiagent Systems (IFAAMAS) with Curran Associates
    Pages-
    Number of pages8
    Publication statusPublished - 2009
    EventAAMAS 2009. 8th International Joint Conference on Autonomous Agents and Multiagent Systems - Budapest, Hungary
    Duration: 10 May 200915 May 2009

    Conference

    ConferenceAAMAS 2009. 8th International Joint Conference on Autonomous Agents and Multiagent Systems
    Period10/05/0915/05/09

    Cite this

    Betzler, N., Fellows, M., Guo, J., Niedermeier, R., & Rosamond, F. (2009). How Similarity Helps to Efficiently Compute Kemeny Rankings. In Proceedings of 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009) (pp. -). International Joint Conference on Autonomous Agents and Multiagent Systems (IFAAMAS) with Curran Associates.