{"id":165791,"date":"2013-01-01T00:00:00","date_gmt":"2013-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem\/"},"modified":"2018-10-16T20:01:50","modified_gmt":"2018-10-17T03:01:50","slug":"adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/adaptive-crowdsourcing-algorithms-for-the-bandit-survey-problem\/","title":{"rendered":"Adaptive crowdsourcing algorithms for the bandit survey problem"},"content":{"rendered":"
Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applications such as information retrieval, natural language processing and machine learning. Current crowdsourcing platforms have some limitations in the area of quality control. 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