Detecting user types in object ranking decisions

Date
2009-10
Advisor
Instructor
Source Title
Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09
Print ISSN
Electronic ISSN
Publisher
ACM
Volume
Issue
Pages
149 - 156
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.

Course
Other identifiers
Book Title
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
Citation
Published Version (Please cite this version)