Difference between revisions of "Retrieval of Single Wikipedia Articles While Reading Abstracts"

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(New study: Retrieval of Single Wikipedia Articles While Reading Abstracts)
 
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'''Retrieval of Single Wikipedia Articles While Reading Abstracts''' - scientific work related to Wikipedia quality published in 2009, written by Chris Jordan and Carolyn R. Watters.
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'''Retrieval of Single Wikipedia Articles While Reading Abstracts''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Chris Jordan]] and [[Carolyn R. Watters]].
  
 
== Overview ==
 
== Overview ==
When reading online, users sometimes need auxiliary information to complement or fill in their own background knowledge in order to better understand a document that they are reading. Authors believe that delivering this information in the least intrusive fashion possible will improve their understanding. Authors have prototyped a system that selects a single Wikipedia article for users when they highlight text in an abstract. This prototype employs a contextual retrieval algorithm developed for high precision retrieval of Wikipedia articles that uses the terms in the
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When reading online, users sometimes need auxiliary information to complement or fill in their own background knowledge in order to better understand a document that they are reading. Authors believe that delivering this information in the least intrusive fashion possible will improve their understanding. Authors have prototyped a system that selects a single [[Wikipedia]] article for users when they highlight text in an abstract. This prototype employs a contextual retrieval algorithm developed for high precision retrieval of Wikipedia articles that uses the terms in the

Revision as of 09:25, 12 August 2019

Retrieval of Single Wikipedia Articles While Reading Abstracts - scientific work related to Wikipedia quality published in 2009, written by Chris Jordan and Carolyn R. Watters.

Overview

When reading online, users sometimes need auxiliary information to complement or fill in their own background knowledge in order to better understand a document that they are reading. Authors believe that delivering this information in the least intrusive fashion possible will improve their understanding. Authors have prototyped a system that selects a single Wikipedia article for users when they highlight text in an abstract. This prototype employs a contextual retrieval algorithm developed for high precision retrieval of Wikipedia articles that uses the terms in the