Comparative Analysis of Tag Suggestion Algorithms

Oldenburg, Steffen and Garbe, Martin and Cap, Clemens H. and Zielinski, Lukas (2008) Comparative Analysis of Tag Suggestion Algorithms. In: KDD'08: 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2nd ACM Workshop on Social Network Mining and Analysis (SNA-KDD), Las Vegas, USA.

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Abstract

Recent growth of social classification systems due to steadily increasing popularity has established a multitude of heterogeneous tag spaces. Tag suggestions are meant to be an effective means to efficiently provide well-matching key words for resources, e.g. to bootstrap an empty tag space or to evolve an existing one. Research in this field has produced a multitude of unrelated tag suggestion methods. This paper proposes an evaluation concept to compare suggestion methods in order to retrieve cross-algorithm knowledge to adaptively find well matching algorithms for a tagging use case. Therefore we introduce appropriate measures for comparison, and present results from practical studies for selected recent tag suggestion algorithms.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Lehrstuhl Informations- und Kommunikationsdienste
Date Deposited:	24 Oct 2018 07:19
Last Modified:	24 Oct 2018 07:19
URI:	http://eprints.iuk.informatik.uni-rostock.de/id/eprint/610

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