Community-based bayesian aggregation models for crowdsourcing


This paper addresses the problem of extracting accurate labels from crowdsourced datasets, a key challenge in crowdsourcing. Prior work has focused on modeling the reliability of individual workers, for instance, by way of confusion matrices, and using these latent traits to estimate the true labels more accurately. However, this strategy becomes… (More)
DOI: 10.1145/2566486.2567989

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