Overview of the TREC 2012 Crowdsourcing Track.
作者： Mark D Smucker , Gabriella Kazai , Matthew Lease , None
DOI:
关键词: Information retrieval 、 Computer science 、 Data science 、 Task (project management) 、 Outsourcing 、 Track (disk drive) 、 Crowdsourcing 、 Relevance (information retrieval)
摘要: Abstract : In 2012, the Crowdsourcing track had two separate tasks: a text relevance assessing task (TRAT) and an image (IRAT). This overview describes provides analysis of track's results.
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