Difference between revisions of "Preparation of Topical Reading Lists from the Link Structure of Wikipedia"
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| − | '''Preparation of Topical Reading Lists from the Link Structure of Wikipedia''' - scientific work related to Wikipedia quality published in 2006, written by Alexander D. Wissner-Gross. | + | '''Preparation of Topical Reading Lists from the Link Structure of Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Alexander D. Wissner-Gross]]. |
== Overview == | == Overview == | ||
| − | Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, authors show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. Authors examine the operation of new tool in professional, student, and interdisciplinary researcher learning models. Additionally, authors present desktop and mobile interfaces for the generated reading lists. | + | Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, authors show that personalized background reading lists can be generated automatically from the link structure of [[Wikipedia]]. Authors examine the operation of new tool in professional, student, and interdisciplinary researcher learning models. Additionally, authors present desktop and mobile interfaces for the generated reading lists. |
Revision as of 09:02, 2 October 2019
Preparation of Topical Reading Lists from the Link Structure of Wikipedia - scientific work related to Wikipedia quality published in 2006, written by Alexander D. Wissner-Gross.
Overview
Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, authors show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. Authors examine the operation of new tool in professional, student, and interdisciplinary researcher learning models. Additionally, authors present desktop and mobile interfaces for the generated reading lists.
