Preparation of Topical Reading Lists from the Link Structure of Wikipedia

Advanced Learning Technologies, 2006. Sixth International Conference on (2006), pp. 825-829.

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Abstract

Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, we show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. We examine the operation of our new tool in professional, student, and interdisciplinary researcher learning models. Additionally, we present desktop and mobile interfaces for the generated reading lists.

@inproceedings{citeulike:936311, abstract = {Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, we show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. We examine the operation of our new tool in professional, student, and interdisciplinary researcher learning models. Additionally, we present desktop and mobile interfaces for the generated reading lists.}, author = {Wissner-Gross, A. D. }, citeulike-article-id = {936311}, journal = {Advanced Learning Technologies, 2006. Sixth International Conference on}, keywords = {web-graph, wikipedia}, pages = {825--829}, posted-at = {2007-02-12 03:43:11}, priority = {5}, title = {Preparation of Topical Reading Lists from the Link Structure of Wikipedia}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1652568}, year = {2006} }

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TY - CONF ID - citeulike:936311 L3 - citeulike-article-id:936311 TI - Preparation of Topical Reading Lists from the Link Structure of Wikipedia JF - Advanced Learning Technologies, 2006. Sixth International Conference on SP - 825 EP - 829 N2 - Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, we show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. We examine the operation of our new tool in professional, student, and interdisciplinary researcher learning models. Additionally, we present desktop and mobile interfaces for the generated reading lists. KW - web-graph KW - wikipedia AU - Wissner-Gross, AD PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1652568 ER -

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