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Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers

Research Article

Rankr: A Mobile System for Crowdsourcing Opinions

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  • @INPROCEEDINGS{10.1007/978-3-642-32320-1_2,
        author={Yarun Luon and Christina Aperjis and Bernardo Huberman},
        title={Rankr: A Mobile System for Crowdsourcing Opinions},
        proceedings={Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={ranking mobility crowdsourcing incentives user interfaces},
        doi={10.1007/978-3-642-32320-1_2}
    }
    
  • Yarun Luon
    Christina Aperjis
    Bernardo Huberman
    Year: 2012
    Rankr: A Mobile System for Crowdsourcing Opinions
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-32320-1_2
Yarun Luon1,*, Christina Aperjis1,*, Bernardo Huberman1,*
  • 1: HP Labs
*Contact email: yarun.luon@hp.com, christina.aperjis@hp.com, bernardo.huberman@hp.com

Abstract

Evaluating large sets of items, such as business ideas, is a difficult task. While no one person has time to evaluate all the items, many people can contribute by each evaluating a few. Moreover, given the mobility of people, it is useful to allow them to evaluate items from their mobile devices. We present the design and implementation of a mobile service, , which provides a lightweight and efficient way to crowdsource the relative ranking of ideas, photos, or priorities through a series of pairwise comparisons. We discover that users prefer viewing two items simultaneously versus viewing one image at a time with better fidelity. Additionally, we developed an algorithm that determines the next most useful pair of candidates a user can evaluate to maximize the information gained while minimizing the number of votes required. Voters do not need to compare and manually rank all of the candidates.

Keywords
ranking mobility crowdsourcing incentives user interfaces
Published
2012-10-23
http://dx.doi.org/10.1007/978-3-642-32320-1_2
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