Stefan Reiterer, Martin Stettinger, Michael Jeran, Wolfgang Eixelsberger, Manfred Wundara
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引用次数: 0
Abstract
In this paper we present WeeVis, a knowledge-based recommender system embedded in a Wiki environment. Since Wikis are used since quite a long time for knowledge management and retrieval in many companies, we show how MediaWiki pages can be extended with knowledge bases for deriving recommendations for items. The WeeVis extension reduces the time to discover relevant information from Wiki pages by adding recommender functionality to the page content. Two examples (one from the e-government domain and one from the nutrition domain) of real world applications of WeeVis are shown and outline the advantages of the system.
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