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Excerpt from Bloomberg -- "Despite its popularity, two major challenges in crowdsourcing practice are: how to wisely use the limited querying budget and how to identify reliable workers. This research aims at addressing these challenges by developing a dynamic learning algorithm for crowdsourcing under budget constraints with online detection of workers’ quality and tasks’ difficulty and proposing new bandit learning algorithms for worker quality control that utilize rich contextual information of workers."

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