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Groupme!
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International World Wide Web Conference archive
Proceeding of the 17th international conference on World Wide Web table of contents
Beijing, China
POSTER SESSION: Posters table of contents
Pages 1147-1148  
Year of Publication: 2008
ISBN:978-1-60558-085-2
Authors
Fabian Abel  Leibniz University Hannover, Hannover, Germany
Nicola Henze  Leibniz University Hannover, Hannover, Germany
Daniel Krause  Leibniz University Hannover, Hannover, Germany
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents the GroupMe! system, a resource sharing system with advanced tagging functionality. GroupMe! provides a novel user interface, which enables users to organize and arrange arbitrary Web resources into groups. The content of such groups can be overlooked and inspected immediately as resources are visualized in a multimedia-based fashion. In this paper, we furthermore introduce new folksonomy-based ranking strategies that exploit the group structure shipped with GroupMe! folksonomies. Experiments show that those strategies significantly improve the performance of such ranking algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
F. Abel, N. Henze, and D. Krause. On the effect of Group Structures on Ranking Strategies in Folksonomies. Technical report, L3S, January 2008.
2
 
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T. H. Haveliwala. Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search. IEEE Transactions on Knowledge and Data Engineering, 15(4):784--796, 2003.
 
4
A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. FolkRank: A ranking algorithm for folksonomies. In Proc. FGIR 2006, 2006.
5

Collaborative Colleagues:
Fabian Abel: colleagues
Nicola Henze: colleagues
Daniel Krause: colleagues