Archive: Optimizing Human Computation
522 views · Published 14 June 2014 · 46:32 · Indexed 1 November 2026
Channel: UW Video · 2014 · Education
Many data processing tasks are better done by people, or crowdsourcing, than computers. In this talk, Aditya Parameswaran describes crowdsourcing work on two fronts. First, Crowd Algorithms, which view the crowd as data processors to design human computation versions of fundamental algorithms like sort, filter, and search, where the basic operations are done by people. Second, Declarative Crowdsourcing which views the crowd as data providers to build a database system that seamlessly combines stored relational data with data provided on the fly by people. Parameswaran presents a few examples of the computational challenges in each case, and provides solutions. Produced 2/14/2012 The University of Washington is committed to ensuring digital accessibility in our services, programs, and activities. If you encounter accessibility barriers using videos found on this channel, please contact UW Video at uwvideo [at] uw [dot] edu.
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