A technique for suggesting related Wikipedia articles using link analysis

Document Type

Conference Proceeding

Publication Date

7-11-2012

Abstract

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, we 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. © 2012 Authors.

Identifier

84863538698 (Scopus)

ISBN

[9781450311540]

Publication Title

Proceedings of the ACM IEEE Joint Conference on Digital Libraries

External Full Text Location

https://doi.org/10.1145/2232817.2232883

ISSN

15525996

First Page

345

Last Page

346

This document is currently not available here.

Share

COinS