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SUMMARY:Collective Intelligence Techniques for Pervasive Computing - Georg
 e Roussos - Birkbeck College\, University of London
DTSTART:20090304T141500Z
DTEND:20090304T151500Z
UID:TALK15380@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:Collective intelligence (CI)\, that is the combining of behavi
 our\, preferences\, or ideas of a group of people to create novel insights
 \, is a core ingredient of today's internet. In many cases the application
  of CI techniques is the only way to locate the one item of useful informa
 tion in a deluge of networked data. Moreover\, the accelerating adoption o
 f pervasive computing in its many different flavours\, leads to massive in
 creases in data production due to the automation of the authoring process.
  As a consequence\, the role of CI techniques is becoming even more marked
 . It is also becoming possible to go beyond analyses of online behaviours 
 and draw information from the real world\, which is now under constant obs
 ervation through pervasive computing systems. In this talk I will introduc
 e our recent work on CI techniques designed specifically for pervasive com
 puting. In particular\, I will discuss a model that comprehensively captur
 es the features of CI in a manner suitable for a wider range of pervasive 
 computing systems\, efficient data structures for representing this model\
 , and a collection of algorithms for analysis\, prediction and classificat
 ion. I will conclude by reporting on results obtained through the applicat
 ion of these techniques to a variety of data sets.
LOCATION:Lecture Theatre 1\, Computer Laboratory
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