Abstract
In 2005, the Wikipedia became the most popular reference website on the Internet and it has continued to grow in size and popularity ever since. With the increasing reliance on the Wikipedia comes issues of the credibility and provenance of content. In order to address these issues, we have developed a Recommender System for the Wikipedia, which allows the users of the Wikipedia to rate articles in order to guide other users about the quality of articles. This rating system provides both an incentive for authors to improve articles and a quantifiable measure of the perceived quality of articles.
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Keywords
- Recommender System
- Aggregate Rating
- User Recommendation
- Mathematical Modelling Technical
- Reputation Calculator
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2009 IFIP International Federation for Information Processing
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Lefévre, T., Jensen, C.D., Korsgaard, T.R. (2009). WRS: The Wikipedia Recommender System. In: Ferrari, E., Li, N., Bertino, E., Karabulut, Y. (eds) Trust Management III. IFIPTM 2009. IFIP Advances in Information and Communication Technology, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02056-8_19
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DOI: https://doi.org/10.1007/978-3-642-02056-8_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02055-1
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