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SUMMARY:Human Computing and Crowdsourcing in Search - Gabriella Kazai\, Mi
 crosoft Research
DTSTART:20120703T154500Z
DTEND:20120703T164500Z
UID:TALK38826@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Human Computation is an emerging paradigm that organizes human
  efforts to carry out a computation or task that computers cannot  do well
 \, like detecting objects in videos. In this paradigm\, humans become a ty
 pe of processing unit and crowdsourcing serves as a tool for distributing 
 computations to humans. In recent years\, crowdsourcing has been populariz
 ed by commercial crowdsourcing platforms like Amazon’s Mechanical Turk a
 nd has reached an industrial scale\, involving  millions of Internet users
  who offer the human processing power. However\, unlike CPUs\, humans are\
 , well\, humans and are influenced by a great many things\, including thei
 r own motives and aspects of the computation task. \n\nIn this lecture we 
 use the evaluation of search engines as a context for studying various asp
 ects of crowdsourcing. In order to measure the performance of a search eng
 ine human assessments of search results are needed. Since online search en
 gines involve millions of queries a day and at least 10 times as many retr
 ieved documents\, such a task seems like a perfect match for human computi
 ng. However\, there are many issues to consider\, as we will show through 
 a number of experiments conducted using Amazon’s Mechanical Turk.
LOCATION:Small lecture theatre\, Microsoft Research Ltd\, 7 J J Thomson Av
 enue (Off Madingley Road)\, Cambridge
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