Detecting user types in object ranking decisions
Date
2009-10Source Title
Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09
Publisher
ACM
Pages
149 - 156
Language
English
Type
Conference PaperItem Usage Stats
170
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views
134
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downloads
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 assessmentUser 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