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      Detecting user types in object ranking decisions

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      Author(s)
      Lu, X.
      Schaal, Markus
      Adalı, S.
      Raju, A. K.
      Date
      2009-10
      Source Title
      Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09
      Publisher
      ACM
      Pages
      149 - 156
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      With the emergence of Web 2.0 applications, where information is not only shared across the internet, but also syndicated, evaluated, selected, recombined, edited, etc., quality emergence by collaborative effort from many users becomes crucial. However, users may have low expertise, subjective views, or competitive goals. Therefore, we need to identify cooperative users with strong expertise and high objectivity. As a first step towards this aim, we propose criteria for user type classification based on prior work in psychology and derived from observations in Web 2.0. We devise a statistical model for many different user types, and detection methods for those user types. Finally, we evaluate and demonstrate both model and detection methods by means of an experimental setup. Copyright 2009 ACM.
      Keywords
      Collaborative quality assessment
      User type detection
      User type model
      Collaborative efforts
      Cooperative users
      Detection methods
      Experimental setup
      Quality assessment
      Statistical models
      User type
      Web 2.0
      Web 2.0 applications
      Distributed computer systems
      World Wide Web
      Usability engineering
      Permalink
      http://hdl.handle.net/11693/28665
      Published Version (Please cite this version)
      http://dx.doi.org/10.1145/1643823.1643851
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      • Department of Computer Engineering 1435
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