Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet
users. Wikipedia has an extremely open editorial policy that allows anybody to
create or modify articles. This has promoted a broad and detailed coverage of subjects,
but also introduced problems relating to the quality of articles. The Wikipedia
Recommender System (WRS) was developed to help users determine the credibility
of articles based on feedback from other Wikipedia users. The WRS provides a
rating which emphasizes feedback from recommenders that the user has agreed
with in the past.
This paper presents some of the work that has gone into the development of
the Wikipedia Recommender System. We first developed a generic architecture for
integrating a reputation system into existing legacy systems and based our design of
the WRS on this architecture. Both the generic architecture and our design of the
WRS are outlined in this paper. Finally, we present ongoing work to improve the
reputation rating of the WRS by determining the areas of expertise for the different
feedback providers in the WRS. This will allow more accurate recommendations
because the system can assign a higher weight to feedback from recommenders
that have previously demonstrated competence in the area of the article. In
order to determine the areas of expertise of recommenders, however, we first need
to identify a way to classify content in Wikipedia. We outline current efforts to
evaluate different classification schemes and illustrate how knowing the expertise
of recommenders may help us when we calculate the rating for a Wikipedia article.
|Title of host publication||New Forms of Collaborative Innovation and Production on the Internet : An Interdisciplinary Perspective|
|Editors||Volker Wittke, Heidemarie Hanekop|
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