Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing

21 Dec 2016Xi ChenKevin JiaoQihang Lin

Rank aggregation based on pairwise comparisons over a set of items has a wide range of applications. Although considerable research has been devoted to the development of rank aggregation algorithms, one basic question is how to efficiently collect a large amount of high-quality pairwise comparisons for the ranking purpose... (read more)

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