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ESWS
2006
Springer

Information Retrieval in Folksonomies: Search and Ranking

13 years 7 months ago
Information Retrieval in Folksonomies: Search and Ranking
Abstract. Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, there exists no foundational research for these systems. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.
Andreas Hotho, Robert Jäschke, Christoph Schm
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where ESWS
Authors Andreas Hotho, Robert Jäschke, Christoph Schmitz, Gerd Stumme
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