Detecting user types in object ranking decisions

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dc.citation.epage156en_US
dc.citation.spage149en_US
dc.contributor.authorLu, X.en_US
dc.contributor.authorSchaal, Markusen_US
dc.contributor.authorAdalı, S.en_US
dc.contributor.authorRaju, A. K.en_US
dc.coverage.spatialLyon, France
dc.date.accessioned2016-02-08T12:26:35Z
dc.date.available2016-02-08T12:26:35Z
dc.date.issued2009-10en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 27-30 October, 2009
dc.descriptionConference name: MEDES '09 Proceedings of the International Conference on Management of Emergent Digital EcoSystems
dc.description.abstractWith 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.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:26:35Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1145/1643823.1643851en_US
dc.identifier.urihttp://hdl.handle.net/11693/28665
dc.language.isoEnglishen_US
dc.publisherACM
dc.relation.isversionofhttp://dx.doi.org/10.1145/1643823.1643851en_US
dc.source.titleProceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES '09en_US
dc.subjectCollaborative quality assessmenten_US
dc.subjectUser type detectionen_US
dc.subjectUser type modelen_US
dc.subjectCollaborative effortsen_US
dc.subjectCooperative usersen_US
dc.subjectDetection methodsen_US
dc.subjectExperimental setupen_US
dc.subjectQuality assessmenten_US
dc.subjectStatistical modelsen_US
dc.subjectUser typeen_US
dc.subjectWeb 2.0en_US
dc.subjectWeb 2.0 applicationsen_US
dc.subjectDistributed computer systemsen_US
dc.subjectWorld Wide Weben_US
dc.subjectUsability engineeringen_US
dc.titleDetecting user types in object ranking decisionsen_US
dc.typeConference Paperen_US

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