Crowdsourced Databases: Query Processing With People

Amazon's Mechanical Turk ("MTurk") service allows users to post short tasks ("HITs") that other users can receive a small amount of money for completing. Common tasks on the system include labelling a collection of images, combining two sets of images to identify people which appear in both, or extracting sentiment from a corpus of text snippets. Designing a work flow of various kinds of HITs for filtering, aggregating, sorting, and joining data sources together is common, and comes with a set of challenges in optimizing the cost per HIT, the overall time to task completion, and the accuracy of MTurk results.

Provided by: MIT Computer Science and Artificial Intelligence Laboratory Topic: Data Management Date Added: Jan 2011 Format: PDF

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