Difference between revisions of "Opengeist: Insight in the Stream of Page Views on Wikipedia"
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+ | {{Infobox work | ||
+ | | title = Opengeist: Insight in the Stream of Page Views on Wikipedia | ||
+ | | date = 2012 | ||
+ | | authors = [[Maria-Hendrike Peetz]]<br />[[Edgar Meij]]<br />[[M. de Rijke]] | ||
+ | | link = https://www.narcis.nl/publication/RecordID/oai%3Adare.uva.nl%3Apublications%2F48d3984f-dca5-48e9-9681-4fc5c67f58c7 | ||
+ | }} | ||
'''Opengeist: Insight in the Stream of Page Views on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Maria-Hendrike Peetz]], [[Edgar Meij]] and [[M. de Rijke]]. | '''Opengeist: Insight in the Stream of Page Views on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Maria-Hendrike Peetz]], [[Edgar Meij]] and [[M. de Rijke]]. | ||
== Overview == | == Overview == | ||
Authors present a RESTful interface that captures insights into the zeitgeist of [[Wikipedia]] users. The system is an interface for clustering and comparing concepts based on the time series of the number of views of their Wikipedia page. The functionality is motivated by three use cases, ranging from technical novice to expert user and authors also provide two real-life example applications. | Authors present a RESTful interface that captures insights into the zeitgeist of [[Wikipedia]] users. The system is an interface for clustering and comparing concepts based on the time series of the number of views of their Wikipedia page. The functionality is motivated by three use cases, ranging from technical novice to expert user and authors also provide two real-life example applications. |
Revision as of 11:13, 25 January 2020
Authors | Maria-Hendrike Peetz Edgar Meij M. de Rijke |
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Publication date | 2012 |
Links | Original |
Opengeist: Insight in the Stream of Page Views on Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Maria-Hendrike Peetz, Edgar Meij and M. de Rijke.
Overview
Authors present a RESTful interface that captures insights into the zeitgeist of Wikipedia users. The system is an interface for clustering and comparing concepts based on the time series of the number of views of their Wikipedia page. The functionality is motivated by three use cases, ranging from technical novice to expert user and authors also provide two real-life example applications.