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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chai, K. Hayati, P. Potdar, V. Chen Wu Talevski, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Digital Ecosystems and Business Intelligence Institute, Curtin University, Perth, Australia (Chai, K.; Hayati, P.; Potdar, V.; Chen Wu; Talevski, A.) |
| Abstract | It has become difficult to discover quality content within forums websites due to the increasing amount of User Generated 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. |
| Starting Page | 233 |
| Ending Page | 238 |
| File Size | 423247 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424455515 |
| ISSN | 21504938 |
| e-ISBN | 9781424455539 |
| DOI | 10.1109/DEST.2010.5610640 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-13 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | web usage mining user generated content Correlation forums Navigation Biological system modeling Conferences Ecosystems Communities content usage content quality assessment Mice |
| Content Type | Text |
| Resource Type | Article |
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