Difference between revisions of "A Technique for Suggesting Related Wikipedia Articles Using Link Analysis"
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− | '''A Technique for Suggesting Related Wikipedia Articles Using Link Analysis''' - scientific work related to Wikipedia quality published in 2012, written by Christopher Markson and Min Song. | + | {{Infobox work |
+ | | title = A Technique for Suggesting Related Wikipedia Articles Using Link Analysis | ||
+ | | date = 2012 | ||
+ | | authors = [[Christopher Markson]]<br />[[Min Song]] | ||
+ | | doi = 10.1145/2232817.2232883 | ||
+ | | link = https://dl.acm.org/ft_gateway.cfm?id=2232883&type=pdf | ||
+ | }} | ||
+ | '''A Technique for Suggesting Related Wikipedia Articles Using Link Analysis''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Christopher Markson]] and [[Min Song]]. | ||
== Overview == | == Overview == | ||
− | With more than 3.7 million articles, Wikipedia has become an important social medium for sharing knowledge. However, with this enormous repository of information, it can often be difficult to locate fundamental topics that support lower-level articles. By exploiting the information stored in the links between articles, authors propose that related companion articles can be automatically generated to help further the reader's understanding of a given topic. This approach to a recommendation system uses tested link analysis techniques to present users with a clear path to related high-level articles, furthering the understanding of low-level topics. | + | With more than 3.7 million articles, [[Wikipedia]] has become an important social medium for sharing knowledge. However, with this enormous repository of information, it can often be difficult to locate fundamental topics that support lower-level articles. By exploiting the information stored in the links between articles, authors propose that related companion articles can be automatically generated to help further the reader's understanding of a given topic. This approach to a recommendation system uses tested link analysis techniques to present users with a clear path to related high-level articles, furthering the understanding of low-level topics. |
+ | |||
+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Markson, Christopher; Song, Min. (2012). "[[A Technique for Suggesting Related Wikipedia Articles Using Link Analysis]]".DOI: 10.1145/2232817.2232883. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Markson |first1=Christopher |last2=Song |first2=Min |title=A Technique for Suggesting Related Wikipedia Articles Using Link Analysis |date=2012 |doi=10.1145/2232817.2232883 |url=https://wikipediaquality.com/wiki/A_Technique_for_Suggesting_Related_Wikipedia_Articles_Using_Link_Analysis}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Markson, Christopher; Song, Min. (2012). &quot;<a href="https://wikipediaquality.com/wiki/A_Technique_for_Suggesting_Related_Wikipedia_Articles_Using_Link_Analysis">A Technique for Suggesting Related Wikipedia Articles Using Link Analysis</a>&quot;.DOI: 10.1145/2232817.2232883. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | |||
+ | |||
+ | [[Category:Scientific works]] |
Latest revision as of 11:23, 15 December 2019
Authors | Christopher Markson Min Song |
---|---|
Publication date | 2012 |
DOI | 10.1145/2232817.2232883 |
Links | Original |
A Technique for Suggesting Related Wikipedia Articles Using Link Analysis - scientific work related to Wikipedia quality published in 2012, written by Christopher Markson and Min Song.
Overview
With more than 3.7 million articles, Wikipedia has become an important social medium for sharing knowledge. However, with this enormous repository of information, it can often be difficult to locate fundamental topics that support lower-level articles. By exploiting the information stored in the links between articles, authors propose that related companion articles can be automatically generated to help further the reader's understanding of a given topic. This approach to a recommendation system uses tested link analysis techniques to present users with a clear path to related high-level articles, furthering the understanding of low-level topics.
Embed
Wikipedia Quality
Markson, Christopher; Song, Min. (2012). "[[A Technique for Suggesting Related Wikipedia Articles Using Link Analysis]]".DOI: 10.1145/2232817.2232883.
English Wikipedia
{{cite journal |last1=Markson |first1=Christopher |last2=Song |first2=Min |title=A Technique for Suggesting Related Wikipedia Articles Using Link Analysis |date=2012 |doi=10.1145/2232817.2232883 |url=https://wikipediaquality.com/wiki/A_Technique_for_Suggesting_Related_Wikipedia_Articles_Using_Link_Analysis}}
HTML
Markson, Christopher; Song, Min. (2012). "<a href="https://wikipediaquality.com/wiki/A_Technique_for_Suggesting_Related_Wikipedia_Articles_Using_Link_Analysis">A Technique for Suggesting Related Wikipedia Articles Using Link Analysis</a>".DOI: 10.1145/2232817.2232883.