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Information Retrieval in Folksonomies: Search and Ranking

Andreas Hotho, Robert Jäschke, Christoph Schmitz, and Gerd Stumme. volume 4011 of Lecture Notes in Computer Science, page 411-426. Springer, Berlin/Heidelberg, (2006)

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URL:http://www.google.de/url?sa=t&source=web&ct=res&cd=1&url=http%3A%2F%2Fwww.kde.cs.uni-kassel.de%2Fstumme%2Fpapers%2F2006%2Fhotho2006information.pdf&ei=YKYASfWcBY_m0gWthrHWDQ&usg=AFQjCNGDsB9vsxQ79baiJNOxXOCXlwdtlw&sig2=qD6kM9XV_HTM9UW7wo1nlA
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BibTeX key:Hotho-Information_2006

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.
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