Difference between revisions of "Modeling and Predicting Page-View Dynamics on Wikipedia"
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| − | '''Modeling and Predicting Page-View Dynamics on Wikipedia''' - scientific work related to Wikipedia quality published in 2012, written by Marijn ten Thij, Yana Volkovich, David Laniado and Andreas Kaltenbrunner. | + | '''Modeling and Predicting Page-View Dynamics on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Marijn ten Thij]], [[Yana Volkovich]], [[David Laniado]] and [[Andreas Kaltenbrunner]]. |
== Overview == | == Overview == | ||
| − | The simplicity of producing and consuming online content makes it difficult to estimate how much attention will be devoted from Internet users to any given content. This work presents a general overview of temporal patterns in the access to content on a huge collaborative platform. Authors propose a model for predicting the popularity of promoted content, inspired by the analysis of the page-view dynamics on Wikipedia. Compared to previous studies, the observed popularity patterns are more complex; however, model uses just few parameters to fully describe them. The model is validated through empirical measurements. | + | The simplicity of producing and consuming online content makes it difficult to estimate how much attention will be devoted from Internet users to any given content. This work presents a general overview of temporal patterns in the access to content on a huge collaborative platform. Authors propose a model for predicting the popularity of promoted content, inspired by the analysis of the page-view dynamics on [[Wikipedia]]. Compared to previous studies, the observed popularity patterns are more complex; however, model uses just few parameters to fully describe them. The model is validated through empirical measurements. |
Revision as of 19:12, 19 October 2019
Modeling and Predicting Page-View Dynamics on Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Marijn ten Thij, Yana Volkovich, David Laniado and Andreas Kaltenbrunner.
Overview
The simplicity of producing and consuming online content makes it difficult to estimate how much attention will be devoted from Internet users to any given content. This work presents a general overview of temporal patterns in the access to content on a huge collaborative platform. Authors propose a model for predicting the popularity of promoted content, inspired by the analysis of the page-view dynamics on Wikipedia. Compared to previous studies, the observed popularity patterns are more complex; however, model uses just few parameters to fully describe them. The model is validated through empirical measurements.
