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dc.contributor.authorChai, Kevin
dc.contributor.authorHayati, Pedram
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorWu, Chen
dc.contributor.authorTalevski, Alex
dc.contributor.editorLeila Ismail
dc.contributor.editorElizabeth Chang
dc.contributor.editorAchim P Karduck
dc.date.accessioned2017-01-30T12:37:04Z
dc.date.available2017-01-30T12:37:04Z
dc.date.created2011-02-15T00:34:43Z
dc.date.issued2010
dc.identifier.citationChai, Kevin and Hayati, Pedram and Potdar, Vidyasagar and Wu, Chen and Talevski, Alex. 2010. Assessing Post Usage for Measuring the Quality of Forum Posts, in Ismail, L. and Chang, E. and Karduck, A.P. (ed), IEEE international conference on digital ecosystems and technologies (DEST 2010), Apr 12 2010, pp. 233-238. Dubai, United Arab Emirates: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23401
dc.identifier.doi10.1109/DEST.2010.5610640
dc.description.abstract

It has become difficult to discover quality content within forums websites due to the increasing amount of UserGenerated Content (UGC) on the Web. Many existing websites have relied on their users to explicitly rate content quality. The main problem with this approach is that the majority of content often receives insufficient rating. Current automated content rating solutions have evaluated linguistic features of UGC but are less effective for different types of online communities. We propose a novel approach that assesses post usage to measure the quality of forum posts. Post usage can be viewed as implicit user ratings derived from their usage behaviour. The proposed model is validated against an operational forum using Matthews Correlation Coefficient to measure performance. Our model serves as a basis of exploring content usage to measure content quality in forums and other Web 2.0 platforms.

dc.publisherIEEE
dc.subjectuser generated content
dc.subjectforums
dc.subjectcontent usage
dc.subjectweb usage mining
dc.subjectcontent quality assessment
dc.titleAssessing Post Usage for Measuring the Quality of Forum Posts
dc.typeConference Paper
dcterms.source.startPage233
dcterms.source.endPage238
dcterms.source.titleProceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.seriesProceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.isbn9781424455515
dcterms.source.conferenceIEEE international conference on digital ecosystems and technologies (DEST 2010)
dcterms.source.conference-start-dateApr 12 2010
dcterms.source.conferencelocationDubai, United Arab Emirates
dcterms.source.placeUnited Arab Emirates
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access


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