Research Article
Rankr: A Mobile System for Crowdsourcing Opinions
@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
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.